{
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  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-title"
    ]
   },
   "source": [
    "# Multiclass Support Vector Machine exercise\n",
    "\n",
    "*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\n",
    "\n",
    "In this exercise you will:\n",
    "    \n",
    "- implement a fully-vectorized **loss function** for the SVM\n",
    "- implement the fully-vectorized expression for its **analytic gradient**\n",
    "- **check your implementation** using numerical gradient\n",
    "- use a validation set to **tune the learning rate and regularization** strength\n",
    "- **optimize** the loss function with **SGD**\n",
    "- **visualize** the final learned weights\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [],
   "source": [
    "# Run some setup code for this notebook.\n",
    "import random\n",
    "import numpy as np\n",
    "from cs231n.data_utils import load_CIFAR10\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# This is a bit of magic to make matplotlib figures appear inline in the\n",
    "# notebook rather than in a new window.\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\n",
    "plt.rcParams['image.interpolation'] = 'nearest'\n",
    "plt.rcParams['image.cmap'] = 'gray'\n",
    "\n",
    "# Some more magic so that the notebook will reload external python modules;\n",
    "# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "source": [
    "## CIFAR-10 Data Loading and Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Training data shape:  (50000, 32, 32, 3)\nTraining labels shape:  (50000,)\nTest data shape:  (10000, 32, 32, 3)\nTest labels shape:  (10000,)\n"
     ]
    }
   ],
   "source": [
    "# Load the raw CIFAR-10 data.\n",
    "cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\n",
    "\n",
    "# Cleaning up variables to prevent loading data multiple times (which may cause memory issue)\n",
    "try:\n",
    "   del X_train, y_train\n",
    "   del X_test, y_test\n",
    "   print('Clear previously loaded data.')\n",
    "except:\n",
    "   pass\n",
    "\n",
    "X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n",
    "\n",
    "# As a sanity check, we print out the size of the training and test data.\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Training labels shape: ', y_train.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "output_type": "display_data",
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "# Visualize some examples from the dataset.\n",
    "# We show a few examples of training images from each class.\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "num_classes = len(classes)\n",
    "samples_per_class = 7\n",
    "for y, cls in enumerate(classes):\n",
    "    idxs = np.flatnonzero(y_train == y)\n",
    "    idxs = np.random.choice(idxs, samples_per_class, replace=False)\n",
    "    for i, idx in enumerate(idxs):\n",
    "        plt_idx = i * num_classes + y + 1\n",
    "        plt.subplot(samples_per_class, num_classes, plt_idx)\n",
    "        plt.imshow(X_train[idx].astype('uint8'))\n",
    "        plt.axis('off')\n",
    "        if i == 0:\n",
    "            plt.title(cls)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Train data shape:  (49000, 32, 32, 3)\nTrain labels shape:  (49000,)\nValidation data shape:  (1000, 32, 32, 3)\nValidation labels shape:  (1000,)\nTest data shape:  (1000, 32, 32, 3)\nTest labels shape:  (1000,)\n"
     ]
    }
   ],
   "source": [
    "# Split the data into train, val, and test sets. In addition we will\n",
    "# create a small development set as a subset of the training data;\n",
    "# we can use this for development so our code runs faster.\n",
    "num_training = 49000\n",
    "num_validation = 1000\n",
    "num_test = 1000\n",
    "num_dev = 500\n",
    "\n",
    "# Our validation set will be num_validation points from the original\n",
    "# training set.\n",
    "mask = range(num_training, num_training + num_validation)\n",
    "X_val = X_train[mask]\n",
    "y_val = y_train[mask]\n",
    "\n",
    "# Our training set will be the first num_train points from the original\n",
    "# training set.\n",
    "mask = range(num_training)\n",
    "X_train = X_train[mask]\n",
    "y_train = y_train[mask]\n",
    "\n",
    "# We will also make a development set, which is a small subset of\n",
    "# the training set.\n",
    "mask = np.random.choice(num_training, num_dev, replace=False)\n",
    "X_dev = X_train[mask]\n",
    "y_dev = y_train[mask]\n",
    "\n",
    "# We use the first num_test points of the original test set as our\n",
    "# test set.\n",
    "mask = range(num_test)\n",
    "X_test = X_test[mask]\n",
    "y_test = y_test[mask]\n",
    "\n",
    "print('Train data shape: ', X_train.shape)\n",
    "print('Train labels shape: ', y_train.shape)\n",
    "print('Validation data shape: ', X_val.shape)\n",
    "print('Validation labels shape: ', y_val.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Training data shape:  (49000, 3072)\nValidation data shape:  (1000, 3072)\nTest data shape:  (1000, 3072)\ndev data shape:  (500, 3072)\n"
     ]
    }
   ],
   "source": [
    "# Preprocessing: reshape the image data into rows\n",
    "X_train = np.reshape(X_train, (X_train.shape[0], -1))\n",
    "X_val = np.reshape(X_val, (X_val.shape[0], -1))\n",
    "X_test = np.reshape(X_test, (X_test.shape[0], -1))\n",
    "X_dev = np.reshape(X_dev, (X_dev.shape[0], -1))\n",
    "\n",
    "# As a sanity check, print out the shapes of the data\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Validation data shape: ', X_val.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('dev data shape: ', X_dev.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "[130.64189796 135.98173469 132.47391837 130.05569388 135.34804082\n 131.75402041 130.96055102 136.14328571 132.47636735 131.48467347]\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
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    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "(49000, 3073) (1000, 3073) (1000, 3073) (500, 3073)\n"
     ]
    }
   ],
   "source": [
    "# Preprocessing: subtract the mean image\n",
    "# first: compute the image mean based on the training data\n",
    "mean_image = np.mean(X_train, axis=0)\n",
    "print(mean_image[:10]) # print a few of the elements\n",
    "plt.figure(figsize=(4,4))\n",
    "plt.imshow(mean_image.reshape((32,32,3)).astype('uint8')) # visualize the mean image\n",
    "plt.show()\n",
    "\n",
    "# second: subtract the mean image from train and test data\n",
    "X_train -= mean_image\n",
    "X_val -= mean_image\n",
    "X_test -= mean_image\n",
    "X_dev -= mean_image\n",
    "\n",
    "# third: append the bias dimension of ones (i.e. bias trick) so that our SVM\n",
    "# only has to worry about optimizing a single weight matrix W.\n",
    "X_train = np.hstack([X_train, np.ones((X_train.shape[0], 1))])\n",
    "X_val = np.hstack([X_val, np.ones((X_val.shape[0], 1))])\n",
    "X_test = np.hstack([X_test, np.ones((X_test.shape[0], 1))])\n",
    "X_dev = np.hstack([X_dev, np.ones((X_dev.shape[0], 1))])\n",
    "\n",
    "print(X_train.shape, X_val.shape, X_test.shape, X_dev.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SVM Classifier\n",
    "\n",
    "Your code for this section will all be written inside `cs231n/classifiers/linear_svm.py`. \n",
    "\n",
    "As you can see, we have prefilled the function `svm_loss_naive` which uses for loops to evaluate the multiclass SVM loss function. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "loss: 9.238023\n"
     ]
    }
   ],
   "source": [
    "# Evaluate the naive implementation of the loss we provided for you:\n",
    "from cs231n.classifiers.linear_svm import svm_loss_naive\n",
    "import time\n",
    "\n",
    "# generate a random SVM weight matrix of small numbers\n",
    "W = np.random.randn(3073, 10) * 0.0001 \n",
    "\n",
    "loss, grad = svm_loss_naive(W, X_dev, y_dev, 0.000005)\n",
    "print('loss: %f' % (loss, ))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `grad` returned from the function above is right now all zero. Derive and implement the gradient for the SVM cost function and implement it inline inside the function `svm_loss_naive`. You will find it helpful to interleave your new code inside the existing function.\n",
    "\n",
    "To check that you have correctly implemented the gradient correctly, you can numerically estimate the gradient of the loss function and compare the numeric estimate to the gradient that you computed. We have provided code that does this for you:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "numerical: 30.840480 analytic: 30.840480, relative error: 8.901748e-12\n",
      "numerical: 16.447187 analytic: 16.447187, relative error: 5.038480e-11\n",
      "numerical: -19.443436 analytic: -19.443436, relative error: 1.236378e-11\n",
      "numerical: -12.562591 analytic: -12.592189, relative error: 1.176601e-03\n",
      "numerical: -61.960420 analytic: -61.942696, relative error: 1.430491e-04\n",
      "numerical: -30.254672 analytic: -30.254672, relative error: 2.799693e-12\n",
      "numerical: -10.207033 analytic: -10.207033, relative error: 5.649969e-13\n",
      "numerical: -5.652091 analytic: -5.653593, relative error: 1.328340e-04\n",
      "numerical: 0.654353 analytic: 0.654353, relative error: 4.311871e-10\n",
      "numerical: -39.053440 analytic: -39.053440, relative error: 6.236032e-13\n",
      "numerical: 11.212749 analytic: 11.212749, relative error: 6.657408e-12\n",
      "numerical: 14.292306 analytic: 14.303612, relative error: 3.953889e-04\n",
      "numerical: -17.487799 analytic: -17.487799, relative error: 2.991522e-11\n",
      "numerical: -2.044893 analytic: -2.044893, relative error: 5.288870e-11\n",
      "numerical: -16.950703 analytic: -16.950703, relative error: 2.843017e-11\n",
      "numerical: 7.074200 analytic: 7.074200, relative error: 2.525619e-11\n",
      "numerical: -5.910295 analytic: -5.910295, relative error: 6.227172e-11\n",
      "numerical: -35.406979 analytic: -35.406979, relative error: 6.778225e-12\n",
      "numerical: -8.812759 analytic: -8.812759, relative error: 2.671955e-11\n",
      "numerical: -4.691440 analytic: -4.691440, relative error: 3.694796e-11\n"
     ]
    }
   ],
   "source": [
    "# Once you've implemented the gradient, recompute it with the code below\n",
    "# and gradient check it with the function we provided for you\n",
    "\n",
    "# Compute the loss and its gradient at W.\n",
    "loss, grad = svm_loss_naive(W, X_dev, y_dev, 0.0)\n",
    "\n",
    "# Numerically compute the gradient along several randomly chosen dimensions, and\n",
    "# compare them with your analytically computed gradient. The numbers should match\n",
    "# almost exactly along all dimensions.\n",
    "from cs231n.gradient_check import grad_check_sparse\n",
    "f = lambda w: svm_loss_naive(w, X_dev, y_dev, 0.0)[0]\n",
    "grad_numerical = grad_check_sparse(f, W, grad)\n",
    "\n",
    "# do the gradient check once again with regularization turned on\n",
    "# you didn't forget the regularization gradient did you?\n",
    "loss, grad = svm_loss_naive(W, X_dev, y_dev, 5e1)\n",
    "f = lambda w: svm_loss_naive(w, X_dev, y_dev, 5e1)[0]\n",
    "grad_numerical = grad_check_sparse(f, W, grad)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 1**\n",
    "\n",
    "It is possible that once in a while a dimension in the gradcheck will not match exactly. What could such a discrepancy be caused by? Is it a reason for concern? What is a simple example in one dimension where a gradient check could fail? How would change the margin affect of the frequency of this happening? *Hint: the SVM loss function is not strictly speaking differentiable*\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$ *fill this in.*  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "id": "vectorized_time_1",
    "scrolled": true
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Naive loss: 9.238023e+00 computed in 0.265847s\nVectorized loss: 9.238023e+00 computed in 0.011996s\ndifference: 0.000000\n"
     ]
    }
   ],
   "source": [
    "# Next implement the function svm_loss_vectorized; for now only compute the loss;\n",
    "# we will implement the gradient in a moment.\n",
    "tic = time.time()\n",
    "loss_naive, grad_naive = svm_loss_naive(W, X_dev, y_dev, 0.000005)\n",
    "toc = time.time()\n",
    "print('Naive loss: %e computed in %fs' % (loss_naive, toc - tic))\n",
    "\n",
    "from cs231n.classifiers.linear_svm import svm_loss_vectorized\n",
    "tic = time.time()\n",
    "loss_vectorized, _ = svm_loss_vectorized(W, X_dev, y_dev, 0.000005)\n",
    "toc = time.time()\n",
    "print('Vectorized loss: %e computed in %fs' % (loss_vectorized, toc - tic))\n",
    "\n",
    "# The losses should match but your vectorized implementation should be much faster.\n",
    "print('difference: %f' % (loss_naive - loss_vectorized))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "id": "vectorized_time_2"
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Naive loss and gradient: computed in 0.258852s\nVectorized loss and gradient: computed in 0.005002s\ndifference: 0.000000\n"
     ]
    }
   ],
   "source": [
    "# Complete the implementation of svm_loss_vectorized, and compute the gradient\n",
    "# of the loss function in a vectorized way.\n",
    "\n",
    "# The naive implementation and the vectorized implementation should match, but\n",
    "# the vectorized version should still be much faster.\n",
    "tic = time.time()\n",
    "_, grad_naive = svm_loss_naive(W, X_dev, y_dev, 0.000005)\n",
    "toc = time.time()\n",
    "print('Naive loss and gradient: computed in %fs' % (toc - tic))\n",
    "\n",
    "tic = time.time()\n",
    "_, grad_vectorized = svm_loss_vectorized(W, X_dev, y_dev, 0.000005)\n",
    "toc = time.time()\n",
    "print('Vectorized loss and gradient: computed in %fs' % (toc - tic))\n",
    "\n",
    "# The loss is a single number, so it is easy to compare the values computed\n",
    "# by the two implementations. The gradient on the other hand is a matrix, so\n",
    "# we use the Frobenius norm to compare them.\n",
    "difference = np.linalg.norm(grad_naive - grad_vectorized, ord='fro')\n",
    "print('difference: %f' % difference)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Stochastic Gradient Descent\n",
    "\n",
    "We now have vectorized and efficient expressions for the loss, the gradient and our gradient matches the numerical gradient. We are therefore ready to do SGD to minimize the loss. Your code for this part will be written inside `cs231n/classifiers/linear_classifier.py`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "id": "sgd"
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "iteration 0 / 1500: loss 405.348787\n",
      "iteration 100 / 1500: loss 242.672464\n",
      "iteration 200 / 1500: loss 146.941156\n",
      "iteration 300 / 1500: loss 91.050817\n",
      "iteration 400 / 1500: loss 56.186001\n",
      "iteration 500 / 1500: loss 36.215707\n",
      "iteration 600 / 1500: loss 23.562517\n",
      "iteration 700 / 1500: loss 16.231983\n",
      "iteration 800 / 1500: loss 12.004345\n",
      "iteration 900 / 1500: loss 9.127823\n",
      "iteration 1000 / 1500: loss 7.746017\n",
      "iteration 1100 / 1500: loss 6.323118\n",
      "iteration 1200 / 1500: loss 6.194603\n",
      "iteration 1300 / 1500: loss 5.610551\n",
      "iteration 1400 / 1500: loss 4.888346\n",
      "That took 14.984417s\n"
     ]
    }
   ],
   "source": [
    "# In the file linear_classifier.py, implement SGD in the function\n",
    "# LinearClassifier.train() and then run it with the code below.\n",
    "from cs231n.classifiers import LinearSVM\n",
    "svm = LinearSVM()\n",
    "tic = time.time()\n",
    "loss_hist = svm.train(X_train, y_train, learning_rate=1e-7, reg=2.5e4,\n",
    "                      num_iters=1500, verbose=True)\n",
    "toc = time.time()\n",
    "print('That took %fs' % (toc - tic))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
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402.590943 \r\nL 271.989641 402.323525 \r\nL 272.328048 403.281516 \r\nL 272.666456 402.392549 \r\nL 273.004863 403.052201 \r\nL 273.681678 403.401991 \r\nL 274.020086 403.138963 \r\nL 274.358493 403.220574 \r\nL 274.6969 403.116456 \r\nL 275.035308 403.681339 \r\nL 275.712123 403.676476 \r\nL 276.05053 403.412135 \r\nL 276.727345 403.789423 \r\nL 277.065752 403.668088 \r\nL 277.742567 404.466808 \r\nL 278.419382 404.450729 \r\nL 278.757789 404.729853 \r\nL 279.096197 404.378248 \r\nL 279.773012 405.028812 \r\nL 280.111419 404.291249 \r\nL 280.449827 404.991946 \r\nL 280.788234 404.532053 \r\nL 281.126641 405.037195 \r\nL 281.465049 405.199543 \r\nL 281.803456 404.710487 \r\nL 282.141864 404.530146 \r\nL 282.818679 405.736006 \r\nL 283.157086 405.239583 \r\nL 283.495493 405.951358 \r\nL 283.833901 405.621118 \r\nL 284.510716 405.594828 \r\nL 284.849123 406.312662 \r\nL 285.187531 405.407467 \r\nL 286.54116 406.552662 \r\nL 286.879568 406.473245 \r\nL 287.217975 406.805058 \r\nL 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413.398884 \r\nL 330.534125 414.130652 \r\nL 330.872533 413.732536 \r\nL 331.21094 414.2097 \r\nL 331.549347 414.259098 \r\nL 331.887755 414.091054 \r\nL 332.226162 414.393864 \r\nL 332.56457 413.629835 \r\nL 332.902977 413.932211 \r\nL 333.579792 414.050026 \r\nL 333.918199 413.933694 \r\nL 334.256607 414.440474 \r\nL 334.595014 414.232944 \r\nL 335.610237 414.628606 \r\nL 336.287051 414.544055 \r\nL 336.625459 415.033442 \r\nL 336.963866 414.38763 \r\nL 337.302274 414.811621 \r\nL 337.640681 414.78318 \r\nL 337.979089 414.910423 \r\nL 338.317496 415.37388 \r\nL 338.994311 414.745046 \r\nL 339.332718 415.442559 \r\nL 339.671126 414.823713 \r\nL 340.009533 415.252325 \r\nL 340.34794 414.93291 \r\nL 340.686348 415.474507 \r\nL 341.024755 415.197601 \r\nL 341.363163 415.1741 \r\nL 341.70157 414.667455 \r\nL 342.039978 415.290848 \r\nL 342.378385 415.212418 \r\nL 342.716792 415.00826 \r\nL 343.0552 415.099418 \r\nL 343.732015 415.536966 \r\nL 344.070422 415.513195 \r\nL 344.40883 415.662458 \r\nL 345.424052 415.057164 \r\nL 345.762459 415.38607 \r\nL 346.100867 415.249583 \r\nL 346.439274 415.27703 \r\nL 346.777682 415.049884 \r\nL 347.116089 415.943557 \r\nL 348.131311 415.348814 \r\nL 348.808126 416.121304 \r\nL 349.146533 415.812949 \r\nL 349.484941 416.28744 \r\nL 349.823348 415.894961 \r\nL 350.161756 416.411045 \r\nL 350.500163 415.718234 \r\nL 350.838571 415.832475 \r\nL 351.176978 416.524945 \r\nL 351.515385 415.998335 \r\nL 351.853793 415.794491 \r\nL 352.530608 416.642849 \r\nL 352.869015 416.127317 \r\nL 353.207423 415.99143 \r\nL 354.222645 416.059902 \r\nL 354.561052 415.802322 \r\nL 354.89946 416.62572 \r\nL 355.576275 416.666502 \r\nL 355.914682 417.052544 \r\nL 356.253089 416.365635 \r\nL 356.591497 416.258923 \r\nL 356.929904 417.361786 \r\nL 357.606719 416.453721 \r\nL 357.945126 416.853525 \r\nL 358.283534 416.703726 \r\nL 358.621941 416.772084 \r\nL 358.960349 417.0341 \r\nL 359.298756 416.471371 \r\nL 359.637164 416.868429 \r\nL 359.975571 416.460786 \r\nL 360.313978 416.749951 \r\nL 360.652386 417.229734 \r\nL 360.990793 416.885025 \r\nL 361.329201 417.092882 \r\nL 362.006016 416.743289 \r\nL 362.344423 416.655102 \r\nL 362.68283 416.736219 \r\nL 363.021238 417.056404 \r\nL 363.359645 417.181452 \r\nL 363.698053 417.450634 \r\nL 364.03646 416.990128 \r\nL 364.713275 416.987397 \r\nL 365.051682 417.283714 \r\nL 365.39009 416.807702 \r\nL 365.728497 417.28044 \r\nL 366.066905 417.189016 \r\nL 366.405312 417.347494 \r\nL 366.743719 417.350111 \r\nL 367.082127 417.695685 \r\nL 367.420534 417.410517 \r\nL 367.758942 417.371594 \r\nL 368.097349 417.011188 \r\nL 368.435757 417.082183 \r\nL 368.774164 417.775421 \r\nL 369.112571 417.344251 \r\nL 369.450979 417.919253 \r\nL 369.789386 418.0181 \r\nL 370.127794 417.429544 \r\nL 370.466201 417.281789 \r\nL 370.804609 418.033303 \r\nL 371.481423 417.472826 \r\nL 372.158238 418.15911 \r\nL 372.496646 417.981417 \r\nL 372.835053 418.108555 \r\nL 373.511868 417.462637 \r\nL 373.850275 417.426841 \r\nL 374.188683 418.038776 \r\nL 374.865498 418.004647 \r\nL 375.203905 418.243639 \r\nL 375.542312 418.175616 \r\nL 375.88072 417.650352 \r\nL 376.219127 417.818484 \r\nL 376.557535 417.735176 \r\nL 376.895942 417.937823 \r\nL 377.23435 417.162034 \r\nL 377.572757 418.27187 \r\nL 378.249572 418.068077 \r\nL 379.264794 418.224887 \r\nL 379.603202 417.983216 \r\nL 379.941609 418.438691 \r\nL 380.280016 417.790243 \r\nL 380.618424 418.040169 \r\nL 380.956831 418.599124 \r\nL 381.295239 417.858688 \r\nL 381.633646 417.779888 \r\nL 381.972054 418.731456 \r\nL 382.310461 418.373814 \r\nL 382.648868 418.533055 \r\nL 382.987276 418.466123 \r\nL 383.325683 418.690303 \r\nL 383.664091 418.058075 \r\nL 384.002498 417.907534 \r\nL 384.340905 418.270442 \r\nL 384.679313 418.461832 \r\nL 385.01772 418.145314 \r\nL 385.356128 418.428518 \r\nL 385.694535 418.219694 \r\nL 386.032943 418.919102 \r\nL 386.37135 418.525302 \r\nL 386.709757 418.385227 \r\nL 387.048165 418.941532 \r\nL 387.386572 418.479535 \r\nL 387.72498 418.92046 \r\nL 388.401795 418.39645 \r\nL 388.740202 418.573973 \r\nL 389.078609 419.283077 \r\nL 389.417017 418.9068 \r\nL 389.755424 418.297465 \r\nL 390.093832 418.640533 \r\nL 390.432239 418.419656 \r\nL 390.770647 419.073299 \r\nL 391.109054 418.280056 \r\nL 391.447461 418.295768 \r\nL 391.785869 418.507655 \r\nL 392.124276 418.90409 \r\nL 392.801091 419.18076 \r\nL 393.139498 418.735256 \r\nL 393.477906 418.701071 \r\nL 394.154721 418.91332 \r\nL 394.493128 418.547216 \r\nL 394.831536 419.105801 \r\nL 395.169943 418.224371 \r\nL 395.50835 418.603356 \r\nL 395.846758 418.800579 \r\nL 396.185165 419.472787 \r\nL 396.523573 419.113821 \r\nL 396.86198 419.100193 \r\nL 397.200388 419.385099 \r\nL 397.538795 418.774861 \r\nL 398.21561 419.403306 \r\nL 398.554017 418.907881 \r\nL 398.892425 419.53419 \r\nL 399.230832 419.032429 \r\nL 399.56924 419.190404 \r\nL 400.246054 418.998111 \r\nL 400.584462 419.401397 \r\nL 400.922869 418.869707 \r\nL 401.261277 418.961695 \r\nL 401.599684 419.181295 \r\nL 401.938091 419.838793 \r\nL 402.276499 419.338958 \r\nL 402.614906 419.820335 \r\nL 402.953314 419.166697 \r\nL 403.291721 419.256766 \r\nL 403.630129 419.036453 \r\nL 403.968536 420.107606 \r\nL 404.306943 419.211062 \r\nL 404.645351 419.488716 \r\nL 405.322166 419.124114 \r\nL 405.660573 419.636098 \r\nL 405.998981 418.841233 \r\nL 406.337388 418.729222 \r\nL 406.675795 418.915808 \r\nL 407.014203 419.707833 \r\nL 407.35261 419.238397 \r\nL 407.691018 419.502309 \r\nL 408.029425 419.944558 \r\nL 408.367833 419.501773 \r\nL 409.044647 419.51936 \r\nL 409.383055 419.360817 \r\nL 410.05987 419.655866 \r\nL 410.736684 419.301318 \r\nL 411.075092 419.510564 \r\nL 411.413499 419.437774 \r\nL 411.751907 419.598476 \r\nL 412.090314 418.728289 \r\nL 412.428722 419.667297 \r\nL 413.105536 419.924211 \r\nL 413.443944 419.79551 \r\nL 413.782351 419.130911 \r\nL 414.120759 420.094644 \r\nL 414.797574 419.133141 \r\nL 415.135981 419.384673 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429.010685 419.995486 \r\nL 429.349093 420.471562 \r\nL 429.6875 420.596954 \r\nL 430.364315 419.911934 \r\nL 430.702722 420.274097 \r\nL 431.04113 420.152256 \r\nL 431.379537 420.593899 \r\nL 431.717945 420.330134 \r\nL 432.056352 420.587768 \r\nL 432.39476 420.569515 \r\nL 432.733167 420.294574 \r\nL 433.071574 420.837583 \r\nL 433.409982 419.963362 \r\nL 434.086797 420.065091 \r\nL 434.425204 420.375866 \r\nL 434.763612 419.940975 \r\nL 435.102019 419.856103 \r\nL 435.440426 420.432953 \r\nL 435.778834 420.236594 \r\nL 436.117241 420.535096 \r\nL 436.455649 420.192486 \r\nL 436.794056 420.405921 \r\nL 437.132463 420.350929 \r\nL 437.470871 420.513962 \r\nL 437.809278 420.175943 \r\nL 438.147686 420.205077 \r\nL 438.486093 420.767869 \r\nL 438.824501 420.419737 \r\nL 439.162908 421.137309 \r\nL 439.501315 420.468951 \r\nL 439.839723 420.339983 \r\nL 440.17813 420.337132 \r\nL 440.516538 420.913394 \r\nL 440.854945 420.026702 \r\nL 441.193353 420.641871 \r\nL 441.870167 420.266424 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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "# A useful debugging strategy is to plot the loss as a function of\n",
    "# iteration number:\n",
    "plt.plot(loss_hist)\n",
    "plt.xlabel('Iteration number')\n",
    "plt.ylabel('Loss value')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "id": "validate"
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "training accuracy: 0.376878\nvalidation accuracy: 0.395000\n"
     ]
    }
   ],
   "source": [
    "# Write the LinearSVM.predict function and evaluate the performance on both the\n",
    "# training and validation set\n",
    "y_train_pred = svm.predict(X_train)\n",
    "print('training accuracy: %f' % (np.mean(y_train == y_train_pred), ))\n",
    "y_val_pred = svm.predict(X_val)\n",
    "print('validation accuracy: %f' % (np.mean(y_val == y_val_pred), ))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "id": "tuning",
    "tags": [
     "code"
    ]
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "lr 1.000000e-07 reg 2.500000e+04 train accuracy: 0.378367 val accuracy: 0.378000\nlr 1.000000e-07 reg 5.000000e+04 train accuracy: 0.373000 val accuracy: 0.381000\nlr 5.000000e-05 reg 2.500000e+04 train accuracy: 0.156837 val accuracy: 0.146000\nlr 5.000000e-05 reg 5.000000e+04 train accuracy: 0.072694 val accuracy: 0.070000\nbest validation accuracy achieved during cross-validation: 0.381000\n"
     ]
    }
   ],
   "source": [
    "# Use the validation set to tune hyperparameters (regularization strength and\n",
    "# learning rate). You should experiment with different ranges for the learning\n",
    "# rates and regularization strengths; if you are careful you should be able to\n",
    "# get a classification accuracy of about 0.39 on the validation set.\n",
    "\n",
    "# Note: you may see runtime/overflow warnings during hyper-parameter search. \n",
    "# This may be caused by extreme values, and is not a bug.\n",
    "\n",
    "# results is dictionary mapping tuples of the form\n",
    "# (learning_rate, regularization_strength) to tuples of the form\n",
    "# (training_accuracy, validation_accuracy). The accuracy is simply the fraction\n",
    "# of data points that are correctly classified.\n",
    "results = {}\n",
    "best_val = -1   # The highest validation accuracy that we have seen so far.\n",
    "best_svm = None # The LinearSVM object that achieved the highest validation rate.\n",
    "\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Write code that chooses the best hyperparameters by tuning on the validation #\n",
    "# set. For each combination of hyperparameters, train a linear SVM on the      #\n",
    "# training set, compute its accuracy on the training and validation sets, and  #\n",
    "# store these numbers in the results dictionary. In addition, store the best   #\n",
    "# validation accuracy in best_val and the LinearSVM object that achieves this  #\n",
    "# accuracy in best_svm.                                                        #\n",
    "#                                                                              #\n",
    "# Hint: You should use a small value for num_iters as you develop your         #\n",
    "# validation code so that the SVMs don't take much time to train; once you are #\n",
    "# confident that your validation code works, you should rerun the validation   #\n",
    "# code with a larger value for num_iters.                                      #\n",
    "################################################################################\n",
    "\n",
    "# Provided as a reference. You may or may not want to change these hyperparameters\n",
    "learning_rates = [1e-7, 5e-5]\n",
    "regularization_strengths = [2.5e4, 5e4]\n",
    "\n",
    "# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "pass\n",
    "for le in learning_rates:\n",
    "    for st in regularization_strengths:\n",
    "        svm=LinearSVM()\n",
    "        loss_hist=svm.train(X_train,y_train,le,reg=st,num_iters=1500)\n",
    "        y_train_pred=svm.predict(X_train)\n",
    "        tra_accuracy=np.mean(y_train==y_train_pred)\n",
    "        y_val_pred=svm.predict(X_val)\n",
    "        val_accuracy=np.mean(y_val==y_val_pred)\n",
    "        \n",
    "        results[(le,st)]=(tra_accuracy,val_accuracy)\n",
    "        if(val_accuracy>best_val):\n",
    "            best_val=val_accuracy\n",
    "            best_svm=svm\n",
    "\n",
    "\n",
    "\n",
    "# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "    \n",
    "# Print out results.\n",
    "for lr, reg in sorted(results):\n",
    "    train_accuracy, val_accuracy = results[(lr, reg)]\n",
    "    print('lr %e reg %e train accuracy: %f val accuracy: %f' % (\n",
    "                lr, reg, train_accuracy, val_accuracy))\n",
    "    \n",
    "print('best validation accuracy achieved during cross-validation: %f' % best_val)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 720x576 with 4 Axes>",
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y=\"534.318125\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_23\">\r\n      <!-- −7.0 -->\r\n      <g transform=\"translate(60.875071 548.916562)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-8722\"/>\r\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-55\"/>\r\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-46\"/>\r\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-48\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_8\">\r\n     <g id=\"line2d_21\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"157.762611\" xlink:href=\"#mce749b801e\" y=\"534.318125\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_24\">\r\n      <!-- −6.5 -->\r\n      <g transform=\"translate(145.621205 548.916562)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-8722\"/>\r\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-54\"/>\r\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-46\"/>\r\n       <use x=\"179.199219\" 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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "# Visualize the cross-validation results\n",
    "import math\n",
    "import pdb\n",
    "\n",
    "# pdb.set_trace()\n",
    "\n",
    "x_scatter = [math.log10(x[0]) for x in results]\n",
    "y_scatter = [math.log10(x[1]) for x in results]\n",
    "\n",
    "# plot training accuracy\n",
    "marker_size = 100\n",
    "colors = [results[x][0] for x in results]\n",
    "plt.subplot(2, 1, 1)\n",
    "plt.tight_layout(pad=3)\n",
    "plt.scatter(x_scatter, y_scatter, marker_size, c=colors, cmap=plt.cm.coolwarm)\n",
    "plt.colorbar()\n",
    "plt.xlabel('log learning rate')\n",
    "plt.ylabel('log regularization strength')\n",
    "plt.title('CIFAR-10 training accuracy')\n",
    "\n",
    "# plot validation accuracy\n",
    "colors = [results[x][1] for x in results] # default size of markers is 20\n",
    "plt.subplot(2, 1, 2)\n",
    "plt.scatter(x_scatter, y_scatter, marker_size, c=colors, cmap=plt.cm.coolwarm)\n",
    "plt.colorbar()\n",
    "plt.xlabel('log learning rate')\n",
    "plt.ylabel('log regularization strength')\n",
    "plt.title('CIFAR-10 validation accuracy')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "id": "test"
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "linear SVM on raw pixels final test set accuracy: 0.372000\n"
     ]
    }
   ],
   "source": [
    "# Evaluate the best svm on test set\n",
    "y_test_pred = best_svm.predict(X_test)\n",
    "test_accuracy = np.mean(y_test == y_test_pred)\n",
    "print('linear SVM on raw pixels final test set accuracy: %f' % test_accuracy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
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FxgKkqww607w4/G/+suS9gOSPuRXmLSshMc7hjsuRdNEwbzYNrwXfaZBzOa5LtGuGiSybUVaDNnbDiUiJripO8DokuazwHTyH466EQ3t7+zjKl3GdAyS9Bv06cySHLWK8O91u/Y0tLLegCI8QQgghJo8WPEIIIYSYPHcnHkSNi2aDelWQYuiQSpAuqmM4DRC+G9WAYVIxhMQGhOlKShWI1y4Qos1QE6SH7DXSiczMe4Tq/PZwb5HfnlisxjkNFZOVRfiyZ20ShG4L6GwZQtSIUFsOB0L/mCrYD3TPOMOcaE+EwQvUmGrZF3q63VBPB+6Xju4tSC493nvWx+u3SEo3bNBuCFkeM+xvZs9UIeu0c7hNTlnHDGt61JBi4rsBkojtkCStCSmqYrgf/ZAh+hZOs9X6YRx/uJGU7QBcbmM89kxcBjmgoRxM2RdyK3Iu2g7S2wb2jwbS43wGBxXG06KFkyujzBePdys4I9uxPLmDRDVj/SiMC9ZrohunLCO5mTmSn0IOTZSS2X6Q7gZIyZvLeP39BWoXwTV0SE5Ow3VHGW+LvjOH5YUS0ABXE+e8DskACzjtlpjvLh+Gw+3sAx+4fsz71WP8FimOM1/ic7vxnNVsoi9xa8EOktg5vlOKHWR1Hgh9oUUW0sHgFhzgxERNvWJOtxQS4XJLwuFNWlYh2R5L+Q2QXHJIgEUdY2peof4ZvmdLvL6EFLWDtMealaNErk4HJVzI+M5dzOOchxsWSroX8TUwqn84X+I7FK652agGJfoR2pWuvCNIemt8n24g182wjSRHbxlexFYQRXiEEEIIMXm04BFCCCHE5LlT0qIDqUAdG0SmRskD2ww7+7nLn+4a7qTumWQIjqAyQmX1IhJy8Tglwmbc8t7RZdSNQ3Mtwq4pMdkc6l4hjFZCxuohVzAsSKfVyEXRsh4YwrXYbd8jnsqIcO+PZx2aQe7IKP3hng2sr5Kh9hTCnGvWnkIP2qFtG4Raz3D8BiHIDjVt1i1cYJTe8AG7fCyDbFskvcTfn4FLYonrYdLH1Q7OsQayLLrndofzhuRSwtV3vg4HygCXFnN35Y+hPdcs4QanSYPxaKx1BCdIg3tNJ+YWtad2cFYOMJ2kHH0CyTgTbhzrkfGeJ0gy947g9rCxCzJHLa4Oks6Ds3AZsuZQvmDdJ4TBIdFldCxhHqkgUbF+1pBud3vlSOh2SBbLuB99QvLPDecISpdMBBq9fwYZp2BtJThekE/U5kfRuNtdJJddraJf0xVEx+W2jT7V3XDIDHC/JdQhHOAEnJ3EveSYKiBL1fP5rY+NNRbRz+lOWi7iniaMwc0lElVmh98+kNdMtMvvuKBnfaohxoijfhTUIKvx3cKEjbsG9xmSDuvZ8fXzWUhXaBZrUI+uu1EXrUYttIszyPxl/N2xVmDCYsMckY+2gmCLCLY55HB1dUg63EJ6ni/jGmZwopaLR9csVIRHCCGEEJNHCx4hhBBCTJ47JS3WAalZfwUyQ5HowGGCNcg7DGUhyVtqYVNC7ameiQARrme4knW1EmJ/GUJifT4OV2Z0MOxur/VER9UobAo3WoNwpKMYzxy1blhvrGACP0hDTObYQRKomATqgNQI5TcIWS+PESrGvR+5WSA/FUi2lxA2X+MaLqDRrbDzPsGRsIXjYweXQGusmQTJtBw76C7g7OhXcc/eB3fVKbSufBvOqRJhWyb7ylDfbHMZIdIZwsWnS7rx0J9ZDw0uCXsB59/LIYeM0SMMbuj/VqEWDcYd6/icn4eMcXGJxGiQboosjr/BcWom7YP8+3rUwtrCTfTwIkL3R0fhsDMzmx/F520hDb7/g89fP84H1k5DYsQGyUwRWl9v4RqdIaEb2nvA/WK9KSbUzCDnD9nh29LMzCFBJEip7F8VnZw9rx8J2jDv1hlqEq5CDmwg2yOnnOVI1NdgLn94EXPF+v3RhvOjkDfpMjUbz8+cR1vM1cfHrMuFcYT+Wc6i/1RLJLTso0+2+N2+oAsW0lILR2FeQ7a/UdPtEHR+u2tyi9pVlOeeQeLEHBKQQRmic+oELjDHpNNi6G/QhzpITLwn3IKxQv8Yhhv14mbx2ccn8dkFtg7sWtQXxNYDSoltYiJIbG1gUmO4sTo6uvHdn7GmHJIdl9mj5WZFeIQQQggxebTgEUIIIcTkuVPSKhCmZBIv7gA3JKXaIfxKswjrdHAHO5NBtUxOh3WYw4HFqOm2jZBr6hGKxtbzZhhLQ6PzKFHmfuTCQEIvhOkY+0R+PatwL2YIy+YIZeYI2a1RYyaDPJAhEWBZ3NksL5kZwvdHCKkuTuCYwU3uEDosITMxaeEHIFOcI7R+jp33D7npP0eSMOzyb8r4+8VlvGGDZHPlbhw2r9BPaiQo3OL+UU5dIFq8ehBSyYYJsbaQLi/husK9O4EsV9eszxV95Ai13nxsYDkMcOzMliEt0C2xQcJAJo4cCoR+kYAxQarM6jgmXTMDXFcDQtqOMDblvGdQdyzHOG3gdDQz264Z+oZc7dEvihJJBRPbGBIrJT04ESkhlHAydQjf1+ggUOjM6aB8THJzUcDxhPtXQ8po2rj3TBL54CL68hLJNZ89xVzYxetzSJFLuNR6vGaAu6jB3LfD49mM8ybkRhvf1x3meSax3F08uH58jvY/PX0mPgMylkPCHrjtATLWDvIZk+T1mIOzge6yw7u0HHMcde4tZEI0gSXMfUyC63ChUmKdz+hui/vT0jGcx9x1CYeeYyzndMMhoWiZj6WhAnJwjZpWLSa2DZLF4mvNVpchmfNrrcEAW2PrQId6lD0TB0NWvtzCiW2sqfdofVIRHiGEEEJMHi14hBBCCDF5HqGdoDYHYnAdXDDMQpicSZBQY4jbx1lbJLvdsdQjfFcg5M6Q3W5gbSe4MXAOTMi2PycksWuYZAyv6SJs3q1Z3ydeVC8j5FfDLeOUEHCPKF05ju/M2odzezG7zV8KrAe1RH0gOvAMu95X/e07/TcItZ4/DOfB8whHbku4biw+a/DY5Z/yePxwHW246eAe6CinjLWhGdwmR6wVhbpcK0ix4+h1hHAHtNUSyfcy1OtxShkDHRMIR+MD2LJDt7NDU87j/mZM2gZJsoLEvGIuMNSnq45Rgwy10xIS9ZVMqInxmOH4F5dxD4satX5QOynBTXW2HSc3W7dMSBcOrhzuDLzdOtQcmp2iDlAPFxG6S7nA2O/pKEEyzhlkLziFEtpv1zyG4ktm5hVciqv4vB5zpzPRY07HS/z9+JnoF0cLONCQwJESwoPzSMI3EuswDxzdh9x+grpPx/G4WowlLUpuCck5V5gjOyTAtCru/SW2K1TbuLYaGRPrZXzeCSSeCzjzMmyTYBLavoPzi8kMD0SGRJicB2bp9nmdSU07SPCsYbYo4jxzyEEZvlBLljbLUXcO96dDK+9aSF34jhrSuI/TfO28XZwTM86zt68D+J3b4O9MdrtGgt+Ev/c4PuW9FusG90fLk4rwCCGEEGLyaMEjhBBCiMlzp6RFl0c/qonT4jHqrLD+DML7TJjVoH5Wi7BWj4RZPcLpDcLPibu2sTu9g+ODLpJZwQpLZh1CYTvIEh1CyBmcVixtz5phA0PrrJmE68lHYbd4zSjEDzdGBtdYlt1I/HQgHMn2crh5StT32uxwL/HeBPkN0XFrNwivZhHiTh2SQ9Xhusjz118/Xg84JkKzuwTJAT10yMfr8wE1Yla4yfUG8ghe30A2qVq4ztAn3aIvnNQhrcz6kAFOcO+O0W/pyGC/HXWSQwGnXIvxOEqECTfZDskDGyRhK9DfM3TsdoNxB0dUtQjX1e4i7klCuPqESSQhPffoW+uHqGdkZgPOtYe9pkMb90ycifu+PEZ9oBYtDtlrQLz/4kGcRw3ZZwtt2zE2czgrmYD0kBR5aAV9R0kQ8umccnC8d4lxXcFCWs3gormAWwjJ3daQUy7W4agZIHuuuG0BrtRyhgSG9Q0rIub/FtJEgfvNZHKGtt3i8yhZMCFljvb3GRL3OeYgjJHzDSRXzM2zgjPEYaiX0ZappK7K+lFwwQ1xXQ/P4zxLzI812nKFWmAzOGk7JLtNGEM5xuDFOhIM8vs0IZFntxlL8MfHUc+yhiOOkvYCEjBrIWa4/hUKAFKuWkHG2vRIogmJalZDqoWU2mMbRbN79NhUhEcIIYQQk0cLHiGEEEJMnjslLeRUs4EJBpHIKEeSpQ42igIJsGoUbEkFpR7s/kcSpIQQHHeks55I28U5LODAYNKzvh2H5hyJ0qoZEjkhIVruCM2fRiiPdXa2qD/UPI/QPNxLs57yXpwT86KtVnENFep+5dnhk2GZme0gKRRILFbAyURH2RLJnto+XvMQYfb7dYSTqxxJ5lAnKy9CGtp12ObfMjkjQrNIQjafRRh/eaOWFhWuKiGBHPpGto3rLFMcK9/E3yl8ziCVHtdIzgiV8R5cZ0d0QmFcbDeQcprDJ6tjIsEd5NY56vgwgR8dixs4BXeQrS/hnCohXTgcInRKXaL/1nTozaMf1HDrrRCuppxrZna6iFZYtzG+zjCOBrhNWJ+sg9xaH8drlkiYtt2E/FZjfslGsnrQQfahYy1Lj2ds8j7Nj2LesQbXDCm1QJK1oYELCnJEDpftGg23hqy+xnaDC0r+DZxDGGgFnJELOPx6zBX7z0NNQziqKPU3mC/PNvF5z6JeE9RUq1BvkdJqAykyQdap0YdzzP2sK3ezBtghmMGx1mMupxtrgJusQYLMDlJXVdDdGq/fruFiO4LLEK5aR90ucm8e92QDiXCL2lt5Px6b68s4Vu64py+QjJfbXOhwdDgoL1DLcZQwcVT/D+2KLR8FklGyNhhf/0IowiOEEEKIyaMFjxBCCCEmzyMSD6L+iEc4bl5AKkKYtYc00iB5VNfAgQQ3jiP83rF2C0J8m4v43B6vLxDerqATlTjOJUJ2+wMjZI8aPVlJ1xndKUhIB2klW8VnDHBItJAEakgdDIPTgbLDPZoN1A/tsXCMUDHr4Ow2cZ/6HWXJCJceQ6I6pXsANZeWWTwu4TQp+7jXW7iFGK+u4VJZHEMmO4rHrBuzP9foh+0qZJAZ5LdiiNcsEb7O4QxAVNjmCMHeR0j5ZIHrwec2OE67RsI4Q5/qD++6gxHCCjpNUOumw/DOkNCsRvawNRxe7Zr9OvpvtYw2KzqE6JEgEoYde/Ag5KM1ZOUOLqDUjl09D55/Ls4Dte0uce86jKP5G8L5lx3F9XQlprQibpIjUWPVh8TqmNcMyfw6JPyraozf/vHU0uoQ1q9ncX7FIs5pg1pXGRw2UADt4jxcOCsk2KvpWFvCvQf3kj8bDkrHfWeCT6gVtoEzh7WzzMzSHC5NJDat4P5iYtftEFsDsiXqNdFRhZppnlO6xedi/nfISRWSxXZr1kg8vKTlcJDtMJ+scb1VRftpPMzoLIaDssM81uF7kO2Uw1Xcog7k5SrG4wxuuHYVbd/D6TybjZMxOmS2/mHUPzPI5BlkyyPUs7zAd+4S2zZ6JL59uIu2xxLCFifRZjncaEPOGmBITGk3nIK3oAiPEEIIISaPFjxCCCGEmDx3SlpZYhl2uIgQysyLeM3AZFOjZF1IKogd4J5TSopTySGlMPHWCuHXGuHKEvF91ufKb9TSGtX+gKtnh3O9dxRhtAFFRLZnEfLbXMQOc8oVmUMygysgh7zVQa6b13QyIRz3ImqCvBSWqFfTobjSFs6ODu6lEsWIFrMIg78h4Th5hN83SDw4Q22rBeSBDeSmI8hk1TKcKcUiHreoVZbSOGR5sXmI48bfFx0cgkgw+MwSbqb62XhNHyHVowS3SBb98BlIJVkeGsJ2g/u4Yh0YhJoPHzW3EhKFF5AJIDk5avoMiWMhrmW5RI08hIS3PRLSIalgex59f0GnFF7z/udCVmkffOD6cY0xd1MZ6nANBpdXi0Rni1P2FySYg55Wwr1Dp+huG+fdw+XixnknPquCHFbRv5U9YhfAS+Q5uD0zuKIcCf0auMscLrIdEvVd0iGD8XW2uV2udNxrzpc5axvS+crkspCqypt9vI1zLdBPBsoOmAtq6Motzm+Aq2iHOlDb8w/G6z3G3aJAjTy663CCPc5ntbux7eEAsM5jj+/NBmOwpCwFFWuH5LqTi/kAACAASURBVHkFvvsGJGNNkKvKFt8/6AcXkIibdcyTW3xH9/gsR+LB4jTmdDOzZ56N+XiL7Q8rSGJtH/3o6B4SQQ63ryEKtMcMMqdDlpshGSmTVGaQzBzzIOX2F0IRHiGEEEJMHi14hBBCCDF57ozPJiQbzBEGPEbY2LF7PIcUkyEhYY/wa44EVRuE15YIv7eUehCWzWqE73A+OyQ0qrGr/97rIrRmZpYhxNlCxklIktXiWGfbCOvDaGYDJLQWtXXmqElVIFFSjTBwvozzrhBCp4yXPabEg4a6JhcXIctkO9RWQjLIGaShkw4uLaTqG4qQAM+QkC8h4d8CbbjGcY6rOM7x8euuH3d53BfmwGqbcSLJZ2ZIVmjhQDvq4/2l0zmHGl2Q3GZwi91bxHHuwSVxDCfgyJmFePR8FqFf1qPph8Pb7jKEfjlOB8jE2208XmO8JCQPyxZIbIfwc4FaaB2S0FH+HSANrc/CvbH9YMgz2wfx9xKOlYtLWIvMLEc9JEPNqOF+/P2NHxl9ZIZx16A+0AzJ6ZZZXNsac1NX0kGJ5Hn4/bfBNTMRaI1jHpLVKJkrJCDIuAlusQYS4sbimpsy5IgeEv4AN1I/klMgexZx/B1rWHWUPpDkFTLv8Q0ZhFJGzrGzhZaJYeGYm+YYgxkS0q4ukQyRNZSQSJFuxBySW7sOpxKUMdttx/UWD0GCJMn8mtWS9x2OY7x3MCQnpFwFF6thHjt7+N44JvpED9mrvYxr7+Gaqumk5fnvnjPSIIlhjWSeHfpFhqnZUV9xOUrgie849IkC3yGc4Z27PDDfZfiOZ6LhFzPNKsIjhBBCiMmjBY8QQgghJs+dkhYUGpvnrI+DmlEIp88y7DDHjv8B4bsmQxl6hLgKJCWqKVVs4RSClFZBGrvcREi7xu7veTa2DiQ4Bxw75ndwThUDkyTGec8gv6wRfmbtqZqFsuDe2iJRHeuMDHB/sD6X949H0mogKRSUirbYPb9DqBGSyPII7jJcZ4UQp0MybODMsxrSQkLCwzkSwEH2ckhaJ8fR5peX41DrFvcvof9U+OwM/XORRYh7gIzJWGiB5GArJGHMZnAgwj2x3dJ1CLcBrmGeHT7xIHvIAMmUcuuO4WQkUeyRxKtHqDifhysix2+h9HzIUhvU3nr+fe+Lz4Wk1Z5D9qITBNasLeq67U8Ejp2KScziPJjEbFhjzKLfbdbvuX68fAZJK9FnKZ8ULV00cToDEoSyHlD3GJJImpmdwzVpGeQtyMes+7RGn12hZtoZnCqssZVhfMxOkCAUSSUbzE2XGySJxFw7jLLkQd6Yj5PVMTHiGlsD8kX0se15XCfnQuc8D/de3+M84LozJsBEHbIE1+jq+WjDWRHzemmHt1Diq8IcSfJYky5h3FmDuoYLWrbQJzCuHd85TRv3kOMrwwzhqOG1QBLBJY6zW+M4Nyx3C+Q1nbOOFb4fB0iYFbceoM/Oc0p0+F7HvMO6bSO5Ffcxx/qA0whrAb4QivAIIYQQYvJowSOEEEKIyXOnpLU6D7dFjxCUwVG0QUgtQSepEQeD8WdUA6hCyGqzQbg6ISSOqN4We7iL05BJeiRNWiPUTenBzKxH4sJTSCUzlJjPIQ9kKOzRIhS4g0SVMRlYzURv+FzUE8oQTs9xegkh9AJSxCEZUCdsg5301sC1kyKEDBOObRHKXtyHGw0Op0UWbf4RR/H37S5uRmJ4dRbHnGfx9wxJpmZDnNvRjejzc7s4wQoya4GkfwUSCd5DP+nLeNwiLsq6MRtYxNqG7pK4dz0k1x2sDkWB0C9Ctodizf4CZ8oWf4eCN5KJ17i/OWSJI7haeiSLtJpJ5BBOh6zSInHoBo4g1kWblejwN+v1oDZScRz3q0GYfrWKuWbDRH27GMtpgU4CR9AzqN3DhGaG+mGIvo8S/vVwy6x3h3fcmZntWHPM4zNmqIeV9XCTYm7q4FS5vESCRfTHMqP8gFpEhgSWSDRaUlrA+WwwVlo4HZsbU9YStQ7bHRM3xt/r5f14f4a6TkjaOtCN28W1bfCBdQlJhEk4IcnzXCmf58PhJS3KNTW+Eyjz5fgeYPLLfh2P10308QaSE7dLFJAhZ5hzmvOQmGdISLjA99Uc7y2yeHxUj5cFb4BGxy0ZNaTxLW5ji77skFszzK3G+ly4noR1Q4H6lQtIfR0clz0clO0GMucLoAiPEEIIISaPFjxCCCGEmDx3Jx6EBEKnkbHuFV7jsDkwYdYAuaEvIHUhlNUjVDZHnZyyYEgXyZRQUn67isRKBXanD/U4bL65jLBgD2fWAiXmC0g32cAQHOs44e+saQMXieH6M9jdRk4uJnZEaI5Jlg7JvA554TLFvShzOCcQ4me4N7uPZGAer6/gRjo6jhD1Gn3hA104Po4Y3UbfOUGodYUaWWfPvf/68XCjxliNWmcF77fFcZfoD0eQYLoOoXmcRzmHQwxh/Q3ks/Pn0Y9QS6upESK+F6H1fA5t6VCgbRq4VKplnP8M46hBrTY6IpmFzZGQkO4tw304Qq25hxg352dI/nkS13sP0nMNaeQyH7flDDKWIyHn82s4HFkbCf0rFXATzmOstUi+1rdxzGwO+Qzhes4JLLtncHRW1eP5jcg6UQny3kWDml4tpSvUOtsgMSTLBeK8T09j7FdHqIUHmYVNXqKeHee7Z+/FGO8hK/mNGmN5Hu0+hxNsgCyXF5gvC7p3IfdgfjHIVQWSMDo+q4FLbYc+skU/KnLO2Y+h0B3mojlqPZV0PVdIBAoZ+gz1qUbfP5ClDIkW53BUsa5WgwShGV7foc167Bc5RjK/WT+WbTeQx3yD74ST6CNexnW2FvNjh+/vhK0w/L7rcN45UiDyu5z3ooJk3kK2TO2jHZSK8AghhBBi8mjBI4QQQojJowWPEEIIISbPnXt4nFlFUckrMYvjMiyhOxRMvMTjGT4mx56XbR9a3wr7X3bQ+gfsf9lCc2z4GNr7mlrfdpzNlbr86iIsbBV0xgU0/XvHoQ2fLpElE5bV7iKyPBu0536gII7MkNhHsqYOfxF7kurHZH2tkTG1hUU4b2FZhSVxg+yk73j7u68fP7cMnfkjno2b+hEfBSs6skXvzrCXwplROa5/+/zz14/PkGH0ucvQj7P85n2Bxgvd2Q19A3sUNl2cdz7E493D2DM0oO/tYInuYKdvd9Fv19gnwfTH1Tree3x/XMT2EFCLH2i5xT6POSyh3KtCTZ9FK6syxvIWY+fsLDJcb5CtfMD+gfo4NPzjeRwng9c7hxW1xl4pM7MShSjnR7Gfhxb3AeO0xfUvYUU/xr69GcbdEfZMjCYCHDNHn+2xj6Zk1uxivPfoUFyuo91ShcKYmEd9F3PK5QaWZVxPVmLvGNOpY4/N6UkUYd10mIOxL7JAEdZqFp97/zT28vXYe9LezHKLFBUZLM+piXE3cI8KmmScSTjazTPYlJFFO0NB4vOHMa8P8EqP9gUhZ8gG+ygPRYd0CGkZj2cVS3RiHDXRBjO02TBDf4crveaeUN5nzHvHSxQyxv7Tdgv7P7Kgd2ijIY2XBfw+nldIGYAcMwtkYK6QKXuDQqcN9wnVfH1cj+N7ln9PmMfHBUPjmssXUXRbER4hhBBCTB4teIQQQggxee6UtAbIBPNlyDszWD+NUTrIOKUj7LZA9ktYHGkDJTuk+N0i9MfCaiMbN7IjN0xImY3DrCzKmSCtNMwMiXOqmSWyi7XhYkGpIEKKFbKCzpjBEzLWALtgifcWJSz66fGEzSuEI2dLWKWHCBXv4GtdI6tqg9D3esN7H12ItvxtE33hHM1cLuKzTmd8b/SL9Sps7Lt1SF2LOTubWQ6ZtUMW7WGHjJuwIG9RBNIQamXo//0f/MD143e/Jyzxs0V89o4ZmBGWXzwTrzmBDPJsEWPnUDQscovQ8oD+66ysVzJLb/y5R39sOoS+V8xEHa/ZQuY7OQlZgYV620uE9CH5dcwKe6PY5MlRhME7jM0aEqtDrlox0y4y286gK55AQiiQ0oKFgOcoVJrnsNNCuqtQuNC20TcPycVFtFXHqQNZw6vjuBddg7/jHmXwli8WsNPjGvo1xwE6A9q8xDGfXSBbNoptMjv2rhp/lQztKPXu9cMN5J4tPm9Rx7xQlfF5HYrzZkifsVwg0z6s+8MDZmxH5v8CRVKR+bnMDp8yYoZ7N5sxfXd8LqXKHG1QI9VDwhyaL+Je1Sh4WyMrdYLl30sW8ESWYvTxDeb6lmkR6vE9ydHmCe8pIV1x/J58VEimF9gK8AHM6x3krXIW7ZpY9QBzCuc7bqlZ4nvssn50igFFeIQQQggxebTgEUIIIcTkeUSmZYSgERJfYCd1C2mgQiw2ryLkmEO6WMNdsGpQMA9ht4KFBBHi8jrOYf0gnDWXKCrYUWK5kXmxa5idM0Jhx3Ah5B4hxQ5hcGsRNh8ifFfD2XIMya1kpmmEJs+24TpKCMUXCGV2u7G77FC84SM/Ns4DofKHHRxyz0fY8RLOjh4uhxOEGld477AKx9oWIfcV5IGjAjIZ5McB9/1sE66gHeSpOhvLIFCrLPc42A6Zk9eXyM6NzLt0pxRwm7zvuZC0fvQy5LTT+t71Y2bCbpGxuURRxvwowvIn956xQ5OQUZZZkRl+psS62sT1Qgm0BQqPdihQ6Bg7NDidUFaGY2kHZ80O97amnAtXSIbxYWaWMAbp7HrdvZhHHDLYElm3S2RmZiLkBWSWI5z3bEEZCxI7pO2EzLYdJL3dBSrqHpDLy8gW3yHbe4+s4ffrkAqegTSM5PXWDJB04EA7PWam9Hg9nVLHdTh75ijyeR+ZjCsUm91tYq4os7GcsILMlEHeKrA1oCowRk4ig3OOPsMM1DmcfG6Ya3FBp/dinBqcbw2KSvf4HmhvVj09AAsMGCbW77GdI4cszozVMD6OjjNDdmy7YAZxyDtwR27LGIMt5CNmq946pV0URL7RlnTs7TAuEhxuzPY9XERf7jEGZyii3OD7p4EFjd/RO9wvGrBKzkG4YcvF2Pl5G4rwCCGEEGLyaMEjhBBCiMlzp6TFBF055JcjuLTWdKw0DPcipIld1TOEnZ6BdLVFGJOPj+iyQeIyvMSK4faw5JoFT83MkaAtQ1LF1EeYNnOETeGWqpDErELiJ6csh4SBA861KOL48wV21UMmSixmaY/ebf5SWN579vrx2VlIgs81Id08QHK+DV0FuN8tXQJNXNvzq5CfKEVWxyhWWMHxk0ICG7Cbv7d4nByFEZEkb/8kEq45C8tCNkPSrTMkMbxch7RqcABsETrN0VYd3UIZXUjoq28I2eD4DSFjnTwb9/1Q7CDPsbd0aI85XIk1HYSzeE2iRDEw0SLGVM3xgbA0XHklQuKOUPQAuXmHxyUk7P2xol8cnYYs8ezrQ8YxSOM5XCF0NeYoVGwYUw2KDDrC4BUcbqxNi+lu1J82uxsJ9g5EA/dSThlgCekK7jXKDIsKLh8W7Ty6XcYbEue+OIcKEsqAMd7CKXUMZ+lsEX1h3Y5l+IeXIQ075tR5Hm2bw0nUbekiRPJTtNsCWxpyJFF1jPECWxoSdJDc6fJB/+wPP9duLuDkg1M4y9HGCDVQIi+d32W3O5Ooe1XYdlAMkPnQb3rMby3kxfwICS6RiPX5zfh7cwlptJrBFYVtC+dnIWMdV5DoIMU5JC0W7G6amItbuCAHi758NIe0je/7LeaN4kWEbxThEUIIIcTk0YJHCCGEEJPnTkmrylCbA9JSjdAnw5VlFrvuC0hXCfG7Feok5SVkiEski2MiQCRTKrA+O0LiqTlC3c0uwneLerxre4B7p0MobDGL4w6QUxrsGG+6+Azky7IeYfP6MsKspwjZMcpeIu5WFEzCyPDuDenmQMxOo33aHI4qJniCNJHVkIyYQA4y5iqH82kdbehIQnkEJ9sMycOaLUKTu7h3l5AGW7r62rGckGDzOkEySB9YmAfhcTgKV22EcDuGtR1JtxA63vQI8zYITaM9mbDr+BROvuXYXXYIzi/j/BfHcBAi/NxArikYlkYYHAY6myGx3wlcV/ePoO/A0bZDeHv7MNopu4x2ZXS8RGi9mo2TMVZIbvcGSICvuxfunR2cHRlk9Q62swI14hZHGLMDEylGP6U0QtnaMb9crCDVP56coJZn0V/ogoV6bgXsWHTj5TipxQx9DZJmCSljCylyZjgm7iNryuVIolokyGT8LPQjM7PTKtpzA7dri8SVVRn3mAkJe/TPBZxjiX3vMvrCEu3GBINMZsrTo5w0v39kh8Z3IctkXdzfzXnIPiVkYtYO61EbimON2ShPkfBz5nBMr+Dc7OI+DE083kA+W+Pbv0K7Dv24k/Ofz8Ltx0SgHb7ktnBAb0cJZcN9+wxqoZWoq1dDhmRSV35fZ+hDhu/orn20u1kRHiGEEEJMHi14hBBCCDF57pS0ekgGTA7UpwgDslx8hV30KWMIFa4buH1yJEGqqwjljcLvSDK02qAU/Ayl41G36Ay1QtJ2HGdlbZIaYTQmVWRSthJSWVbgCcgYdRkhvhIuigVC4hkT+0GuahiihYxH98shqREKdYTHt0gg9RASUkI8vUD0mvWRLoq4hg824fwacD1HxTEeh0ujzCNc7fisHe7L5VlIb+NUdWb30D6JZgs4klok0FttQ8q4xD1eQQbtPeSLAonOrEEdI4T7j2cxFnKEeys4vLL6bjPkS2EFObBYIvEaZIYakq4jmV8PCS9zPIbD5ZghdzgOGTauy5AnayQOrJ+N/nE+RJ9oIFXk9Vjmq0qEteHSYeGve6dxf5lMbYNkewUTL0LOhFHSLuEESZAnM4zrUYJBhM1ZU++gwEHq6My4BKvRJnM47Y5qunbi8QVckxeQmw2ySX0ESSvFMZeo0bRM8ZoF5IojvIbJJs3MZphfMsjbl5BZe9RlqgbKaXAnYQrfbSGf9/F51TLGoMN12LHGHLZGMPle392cVV4+BaTXElJRXyK5JkQ2R1/O4KBjIszj45g3T+B8KjExN7O43g3dtg/iszaYJ3s4nxItTjdczwmuQcrY9RL1yXCvM0igFbYF5CWuOYdzG9s/KnwXDw6Zs2UyToxHbFMpbuqqt6AIjxBCCCEmjxY8QgghhJg8d8baO4SLzi4jNF0eRyi7QyisWSMsiRB6Bx1rQGw5IVQ+h1sixzb6xHpAqJfUw3VRQJ5aoN7S8mjsBMkgbxRwjDCEx5odBWSJ00XILzUcJiVizjWurUJSxbyH1QK75KtthB3nkD14zEOSob5ZAUlhQBsy7FrRzgBnVkFxCWHH+jiu/2IVfeccCSl3iHwvIRm1m3hND5khFfG5yyUcVGZmkD7XyKB2xppNaIdLSAJtQt+YoX4L2qRForAaEuoGElgFKYLjYqDDqzu8tWdzFhJFWcV1reEEOYGsWsNBtkbCMORss57ORby3oyx4GfJRjr83lIAwnp6BC2aAc/PyRgI/1s9LPRL9XUISYCh7CdmHtacgH59BuqrgMs1Y08iYOBUSM5IkDrCyFS8mu9lLoEVtsflxtNVyiXkB4yUbJcxDUkyM01Edp01cw0AnEJMtwo1HyduwlWDzwbinyCFolY0dsXNnfShKi9FXV0g4t8G2hxzfF/iKsNOcEi3q2W3iRbsdna+Yy+oYmzlrAa7GSfYOAUxXtoP7lo5OlreqKWkx6SLuCRN7jqQeaH4d7kl2jJplR9iCsY1rr4/ogEPtPB/LfLyebA65Cn2T35vc8uE1HIQZnMscR7geOkg7zOmO1zToj1u2HxIIvxCK8AghhBBi8mjBI4QQQojJc6d2Mirbjse7HcL+CMV2eFwdIQkhQmQ5HC4JyYrWcG8NPV1dsSZbw3WwQVj+HuQg1tyYleMQV9ZTuojryRE6Y3JDOkeO4Hipqwg5N3CtNBuEwfO4oBnuiyPkzrBvg5392/7xuLSqKlwuy2ej1tP9j3r99eMzJM1ivHu9ZuI91CVCyLmrcc1VhJApk3UI37Z484a1zSAzVAjvr4uxe2CNRITsY5S3SkqikD59RkdOtGGGsDlD8TnksJSindsi7hETIzYIm6f68IkHe0hvWRdjbbhECB16QIXic3QHOuTJHULoGdqshmxXY3yUGB9dgVpwLVxjxyFpdbM4t/4D4b4zGydiKyFVHkEa7HA9CZJpBu2mQ+JQhuILJGhroKtWmCPYh1qEyjskHqRT6JD0TM6HeaSDC6fH3Nk1nLOwHQBzYcI4pVOqNErJuI+cOylLsBbTmn0fUlUxlrRqqGacdwfUxhqQPHCL+SW3eDyHFEU5LMF11ULG6ymDwE1qSE7IvHX9Y6hb2A1w4l4iKeic7si4J0s45SyDIxLt3Tude3EftkiI2vJ7FolYj5+NPnR0HG28gzS/3aAO4jB2O2X4vNNnQ8es4K4aJbOEHF7OIcXBOZZhLs8hxZX8rkDW0u06xvUWY3DXUJJmLc/bUYRHCCGEEJNHCx4hhBBCTJ47Ja3t7gKPUR8DjpraI1TI0FfC7nSUN7EBIccGscUO4fQWIbWEcHoOd8XpURz0FAmQHE6GBcrRm41DsxS7MmwxLxm+x7HqHKHG7RkeI+lZDukqIYyLz02sB5VQ+wPOiXb3eGpptbDkZJDlWOvsfBOSVoO6ZwaZiaHiAoknH0JmGBBCnyE5X4VQ+QMkQzs7jz613kbfuf+GqKtU5WOX1tBTHsQ9RkLCAeedw+XFcO6qD2cTa7Rl+D1AN5NncB2izRvIDCnRdTjuh4eAtcpwOlYieWAPuWJNuwtew0SgGaSuPqdzIu6bIwFYs0WfGJB0E3LmHG024HN9cSPhWwGXCM7pFJPHBZKyrXFtOZJCVpB0MshkeQsZZ4s2g0QzQIbcnEffHDA3bS8fz9gsCsoL8RkFkrnOIM9Sumnh1NmwFBPmphnm5hJ9tsQ8sIBD5ghKz0j2y+PxDDLRw8uxnLDGfa0rXgO2DOAxkxiW9e01wwZIVzn61QUcdRmcQInOJsisF6v4XmubG/3wALDWIF25fYs5auQOjPtIJ9fyXrioctyTDgOe36ED2obz3ux+3NtjSIQXFzHPXpxBxmrHWwdyJB4sl/iOx7aNkrLUMq7z3jOQZNEGhm0rBrmOW1W22P6x2sYcvd3iu5VbalRLSwghhBBCCx4hhBBCvAa4U9LK4ewoIRlwm3uD3d05kpvRvpMQEh8QjmPywB1CtAPj7AhZnS7CZVQvIrRWl3BN4dx263GIK8MudkeotEdiMYe0xARYrMXD3eCU9wqEaFnyfguJqkc9p+1FyEerVTzeoJ7VIWGklfVbECm3Bi+6gJONtZgSpIkMO+971PTpIeM5TAizk2jD7UM4szrUXGGSMLj9suqGowLL9QYhXJKjvsoR6kwt4NI6XWAYIATNxJgdjp9B1SjQ51mXyOaQgWaPToj14VLkt8uzA2uEPXxw/XiJekOJyb0QZq8q1D9ifTFIXbNEKRShdSQh7FGbbUA/Y52rY8ghZmYZ5OMcScYc9fzayxgXMySCLMo4D7o5Ko++Y5DY+0vIVRbnfY6kis9/MO5dhbmvtnG4/1BQJu0h3bF+1skiriexhlCKa8uQQC6nDst+DUkr51QLuX13gTbE2J/PYvz2kJXyNB6bZRnS8DHGBbcMrC4go6DOUgZHHRNDdnQXQvo5PgrnUEItrWYX733uMiQRllyqZjeSmR6AGZyFju0S/RDt5M55Bu0HVx5doob2XkH2yTG+EuqZDfjuPrqH2mFwyTUp7klnkPnSWLbNMafkO8iTJ6gXiObf9HGsEjX/MmzzyHFfmOB4s4PLEufAdmp4v1CPLaVHJ5FUhEcIIYQQk0cLHiGEEEJMnjslrQy7p2lTcSSJa+HYYd2QmUcIPUf0um1vdyMMOKZhV3iGujxMdJbj3GpoMg4ZatdE6NpsvIud9VScYV1cTwcnyAbn6vg81gRpkaDskqG5HZJDITzYo55Q08ZrhuHxhM17hOa58362jPt6fBphc0qOLeQIRzswMeQAtwjDl+vsdvnwEiFIlkFhkj+6+rJiHDZv4ULpmfQSIWWGWjs4gY6OkNAsCzdEh/NmcrCedW3WkDGRVLBGLa0Kxx+yO4fZS2KOBF3HNRxxqD3muNd0bOW4PzPWAsM9bM9Q2wjnP0dixhYJ5Qxy0OoCIfFZPD6FDLW4UZOKjp0cbZDg9jlBiH8+h/uDimQHJw/mI8N7Z5BG1i3D43BQoq5YS2m/Prw8aWbWbOOcjuFq9CbaqjDIeOjXUGctGevFxd+XGLM12n+LemM15scS82u3o7Qb9+WsCUmkOro/up45ZLP1JVxkSIx5doY5D3XMMvThRUXJBjIbmpbuOtbe6/B66iOOc+tYU/FAdC0da0zyiW0eBc8BfRbnM3RwtNVI5oe+zGukjMX+MbrCDPUBa5zbcRzz4cOxNEQpDt3UjuDeY6LSHOOLEnuP79Ye19Am9i84t+G6ciRkLIrbZc4qv31bA1GERwghhBCTRwseIYQQQkyeR9TSilDWmmF8uF28REgNdXkahO+6liExSFfQkhwhrnJAYjTWz8lQw6m7PdRZIOQ29OOkUiPZjOEvRD571kNaR7g3g/srrxA2xo75jgkTG4bHUScH8laHxH50bA0I0x2SLXboU7opitgBf+80amztkIDKcTnVUTg1CkgiG9R3uoB7rcNxVpsIg9MR1qA+SslQ6SixZYR1zcwMoekZXD4GKSpjMi5IkQM+gxIdJdGczkR0pWN81mwR8sPRPThTIG817eHrL1EyyODOKLq4ljkcZKO6Quh3AxIGdhXkHYbW4XzqK8hka4wn1NejTLb0uFenSJ5m3dhB2UASK1GTLYekUc1ZSwkuDxZHoqSFpIU9XGRMYFdAxlvCWbeFK6RD36zS4RPVmZkdz6MfnSxiDGaYotmGlOQzSI4FLZeQm8euzLgv8wVcNzVdN5D2d7E1YIf5bgOHzFEec8L+o6Otzh4iaRwyI3qK8yghsRvbdOQWywAAIABJREFUFkPHce97zF9zuCAHtHmH+X4BCbTBloHt5vBzbYc5LkdCyRJJJAu038BknvhOnCGJJmsClmgz1nbj190MyVePZ/FEgT6+QYbPBw+jjWezsTR0Cofnils1BiQgLuECxTWUObc8wE2J7Sasw8Ual5TrWqwbOtwv7lmo6kfHbxThEUIIIcTk0YJHCCGEEJPnTkmLga0OyX52SKTH0DpD6CkxTMUQehyTYUwm7WNYOsuYLBAnjvDugK3jBUK383zs6hnVHYGDgyG1HvWQCiSHykcJ1BDuZSGjHcNuTMSGewepZ6B8hpBdmT8eJ8hq5IpD2HEeYeCT10Xtqh5SV4d7Yc4wO46zQYIxhJBpE1jBWdXSUYcElgzdlxXC3kjmaGZWFyEblTVD4nAbwf3ho2RXCIWinzCJJRNP5jXu0RHkB4R7X38/7h37S7N9dEKsD5cBEtLmAmOBBr+B4wv1v+DAyTyut+hYDyvu9XpHySwO7winF7jPZYHwNsZBcxEJybIbScLOHj5//bhCOH52D24s1Ezq4QgsFtE2A2TILc6P9aY6nOu2pRMzzo8Oyhp9vywO77gzM6vhwqlmSLZJGQf103aQz0e5EBdMDIn5L6eEi76PMURJZLuKcbpeQyKGFEyXXkF508wc4/YS73cmKIRTic7UHkk1O25dYCJY3C+HFEcpjclSt5B96YhjLbVDQYmtM8ihkLdG8gv6F91VGaQhOkaZHJcJJTu4qZj4tenQb6ARchvBpo0tFcWNr58KEtoAOZQuqh2SSJYlXj9KsBjH3MEduN7gOPguTlwsjGo5wpGbQ4Z9EWNTER4hhBBCTB4teIQQQggxee6MAVFy6hA3bfsIA9ZweewaxrvhCoCrizU0Bsg4CbqHI6bWdEhChmRg3M29gKOCu9DpTDAzKxEi22G3uUFyY7I9ymOjnfQIKXab25MKOkK0GT6XCfJ6xJB7CHapG4eHD8UGkkAL91uN+jjPvoH1wFC7h7XHIA+wbtIR2mcD6YphcN73FnIC3W7MZ0c3Rn4j1jpjMjX0Ve+RDBIyZlVQykHoG7LkAtJVjdpdOUKzR7P43CX6dgkZqEGytlEs90DQyJfhdwsTe67Ooh5UjuutZyFjGMLsVC3Xa4aro22KEvIvxmBldGChnh3chw8Qlj6ej+XmAS7QXY/7jkR3lChahPgT+hQTuqGUkrU53Tjx3h1k3vPLh3E+uIYOx2yaw0sgZmZtT2kCcgTklwu4RpfzuLh6Drm9xZQO+Wj+bLR5h+0DG8qVbby+aXEfcUxuJWCS1s36Rh/HcROkOBbu20DqTbjmEuPc4YgdcE4tvnc2K7gLmVQR30crvCZBzs/T4X/z18uYQ+hudUhUmNZGCX57OFpLuBq3mGedzmV8boM5dKRtwxm8pRSO75kW2zF8nKrQ3vcgxkWG+mlMpLiBbDYb4vpzzEcJW1UuV3BpjZxZcEPj+5cJfhMdbkOM/a4bu8tuQxEeIYQQQkweLXiEEEIIMXnulLToaskQjk6QCXZ9hMgcoegSO+dLSiAIcVE+6hE2zTKE0xHK66B1JDpu8FkN3AHZjbo3dGfsEJoeJ8NCciRKK0zCh7BshxpLTLDHsCDLBlXG4/OeQm57DInqzMwuLlgPDOFCXM/RHM6nLMKXdL8w6duO199FGzaLCMeyHlYHyTFBQxkSHRuolYK+lvm4u44kKoQ5ixJ9gNY+hM37jv0QSQ9xzJrJMHH8Gn2MgfzLSyTvquKZ3A//u4I1kzqP/l+wBtJIJoQLBupOUeIfCH2vL6OvbNZxfx7imM15jP0KzqyiivNZn6HeElSsMxvLtnR8ZHW88HwOpyTkDSY/nR3BqYGibF0e13xxGXKQvUBCyQX6e19Rxopz21CeOSA95IWHF3HPKDnlmAt7JO2r+jjveR3XVs/iPl42SDAIeRO5CS3D1oCGud2Q/HHAnL3Fi4ZqLCfM4Ng9fQZJOOH27VAbLOG4M7icCvTtlgliMXcyD50zASnuacVEo2h0Jh09FB3m72y0rSLOrcdJQw0ymu/onKKzztl/8WbKZJiK7Wwb81LL+nLOeRYyXzmer1q6HYc4pwrjvEadvO06Pq/n+fV0iEFipLo9Si4JCew8Xp/DjdVgPdFcjmtn3oYiPEIIIYSYPFrwCCGEEGLyeErp0a8SQgghhHiKUYRHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTk0YJHCCGEEJNHCx4hhBBCTB4teIQQQggxebTgEUIIIcTkmcyCx93/rLt/w5M+D/Hh4e6f4O7/xt0v3P2rnvT5iBePu7/d3X/ekz4P8crh7m9x9++44/nvd/fPegVPSTwB3D25+8c/6fP4cCme9AmI1zxfY2Z/L6X0qU/6RIQQL4+U0ic96XMQe9z97Wb25Smlv/Okz+XVwmQiPOKp5WPN7Ptve8Ld81f4XMQrjLvrR5cQrzCv1XH31C543P1T3f1fX0kh321mMzz36939B939eXf/6+7+Rjz38939be5+5u5/1N3/vrt/+RO5iNc47v59ZvZzzOzb3P3S3b/T3f+Yu/8td1+Z2c9x909097/n7g+vwuW/CO9/1t2/193P3f1fuPs3uPs/fGIX9NrkU9z931+Np+9295nZI8dgcvevcPf/aGb/0ff8IXd//9Vx/r27/+Sr19bu/s3u/k53f5+7/y/uPn9C1/qawt2/1t3ffTXHvs3df+7VU5W7/29Xf/9+d/8v8Z5rmfNK/nrrVb+4uJqv/4sncjGvMdz9283sY8zse6/m1q+5Gne/zt3faWbf5+6f5e4/cuN9bL/c3b/O3X/oqv3+lbu/+ZbP+pnu/i53/zmvyMW9DJ7KBY+7V2b2V83s283sGTP7S2b2RVfPfbaZfaOZ/TIz+ygze4eZfdfVc68zs7ea2W8zs2fN7G1m9l+9wqcvrkgpfbaZ/QMz+8qU0pGZNWb2K8zs95rZsZn9MzP7XjP722b2BjP7TWb25939E64O8UfMbGVmH2lmv/rqP/HK8svM7L8xs//MzD7ZzL7srjEIvsDMPt3MfpKZ/Xwz+9lm9hPM7J6Z/XIze+7qdX/g6u+fYmYfb2ZvMrPf+fguR5jt99aZ2Vea2aellI7N7HPM7O1XT/8i27fnPTP762b2bXcc6hfbfn5+xsy+08z+qruXj+m0xRUppS8xs3ea2edfza1/8eqpzzSzT7R9ez6K32xmX2xmn2dmJ2b2a81szRe4++eY2V8wsy9KKf3dw5z94+OpXPCY2c8ws9LM/nBKqU0pvdXM/sXVc7/SzP50Sulfp5R2tl/cfIa7/zjbN9z3p5S+J6XUmdm3mtmPvuJnL+7ir6WU/lFKabD9l9yRmf3+lFKTUvo+M/sbZvbFV3LXF5nZ70oprVNKP2Bmf+7JnfZrlm9NKb0npfS87Renn2J3j8EP8Y0ppedTShsza22/wP2JZuYppf83pfRed3cz+/Vm9j9cvfbCzH6fmf13r9jVvXbpzaw2s5/k7mVK6e0ppR+6eu4fppT+Vkqpt/2PzruiNv8qpfTWlFJrZn/Q9pH4n/FYz1zcxVtSSqurcfcovtzMvj6l9La059+llJ7D87/UzP64mX1eSumfP5azPTBP64LnjWb27pRSwt/egec+9NhSSpe2/7X4pqvn3oXnkpmNQnriifMuPH6jmb3ravHzId5h+7Z8ve033b/rBd4rXhn4g2Ft+wXqXWPwQ3Acfp/towR/xMze5+5/3N1PbN/GCzP7V1eS5kMz+z+u/i4eIymlHzSzrzazt5jZ+939uyBL3mzz2R17QtjOg+3n2ze+wGvF4+fDmSPfbGY/dMfzX21mfzGl9H+/vFN65XhaFzzvNbM3Xf0C/BAfc/X/99h+I6yZmbn70vby1buv3vfReM75b/GqgIvY95jZm92d/fRjbN+WHzCzzsbt92P0ZfFEuGsMfgi2s6WUvjWl9NPM7JNsL2H9FjP7oJltzOyTUkr3rv47vQrRi8dMSuk7U0o/0/ZtmWwvL364XI/Jq3H80bbvH+Lxkx7xt5Xtf1CY2bVJhD8m3mVmH3fH8X+pmX2Bu3/1yznJV5KndcHzT2z/ZfdV7l64+xea2U+/eu47zezXuPunuHtt+xD4P0spvd3M/qaZ/RR3/4KrXyRfYfv9H+LVyT+z/aD8GncvfZ/f4/PN7LuuwunfY2ZvcfeFu/9EM/vSJ3eqAtw1Bn8M7v5p7v7pV3s7Vma2NbP+KiLwJ8zsD7n7G65e+6arfQPiMeL7/FiffdV+W9svPPuXcKif5u5feDXffrWZ7czsnx7wVMUL8z4z+/F3PP//2T469wuuxt7X217G/BB/0sx+j7v/51fGgk9292fx/HvM7Ofa/nv4Nx765B8HT+WCJ6XUmNkXmtmXmdkD229y/J6r5/5PM/sdZvaXbR/R+Ti70vxTSh+0/ar0m2wfYv9JZvYvbT8IxauMq3b+RWb2ubb/tf9HzexLU0r/4eolX2lmp7YPsX+77TfPqS2fMHeNwRfgxPYLmwe2l8KeM7Nvvnrua83sB83sn7r7uZn9HTP7hNsOIg5KbWa/3/bj7kdtbxr4updwnL9m+/n5gZl9iZl94dV+HvH4+UYz+/orKfiX3HwypXRmZr/R9gubd9v+xwa3ePxB2292/ttmdm5mf8rM5jeO8U7bL3q+1p8Ct7OPt8G8trgKsf6Imf3Kp2GHubgbd/8DZvaRKSW5tYR4wrj7W8zs41NKv+pJn4sQZk9phOfl4O6f4+73rkK1X2dmbgqxPpW4+0+8CrO6u/90M/t1ZvZXnvR5CSGEePXxWsy2+Bm232NQmdkPmNkXvEiLnnj1cWx7GeuNZvZ+M/sW24fQhRBCiBGvaUlLCCGEEK8NXnOSlhBCCCFee2jBI4QQQojJc+cenl/xuZ8IvSty/BV5/HlWR0HroQu3Yd7HWmqxOLl+XJWzeH3fXT+msFbmkQqgrhfxGhTP7rtICeEe705ZnOfQxfHNzPLRc5G8d2iaeGwDXh+PW1x/VsVt6/twQV+eX14/3m13eE2c387inIYsroeJSi8u4zj/+z95J5Mrviy++bd/9vWJNLu4Zn5ANYvz2K2jPXe7uJ7V+dmt7z06jRQNCc+0TRyn6bbXj2u0c5FX14/Xmzi3po3PzWxcPL2o4t+zZfSToY++wets0MuqMj6vw+tb9Jl6Eec3K6P8T1XF3zdNlJbZreI6B0jF1Txe/01/5B8dpD1/y7f+0+sPeO5BtEe3jfvbY1zkRZz/6b3j68dtinHaYky17B9ZvCZhyijKuP/tNrbBdRhP83mM97aP8VRmTPdh5hXG2m51/RhD1tIQr2HOUUdfG/D6Am28mMc185i7Js67KOL1J8s476qI6z8+juP8j7/k4w82Nv/gH/2+68baNmjDPvpUlse9T0O0Leddx5yS5fF4jX6R0A4dHg+4v/3Q4PVxngPm/oLfCVXcu6sDxDlhTk1DHCzL4/1lWeM1mIORczThbvdo6Bx9YT7HeeQYs7h3dY12Po0cll/6yz7tIO35u/7Su6MtMZdxTsTXj6Uh2m/bxP3pe7x3iHkw4X6y/w6YW/sm5rEC4zfDPFBiTivQV4ZRYnuzuorXzebhSk/oa5wvDN/TCfPLBn2w2cW8meM4ZR39YF5xjohz6HB+R0cxHnvcu2/+NR93a1sqwiOEEEKIyXNnhOcYq6euw2oTK8kcy+75bHn9uMZK8mh5//rxbB6v6XGczcP4VZcjCnRyFCvwDOuz7RZRGfxCL7DCL4tRjiQrsFK1DpGDgdGieMkGv1rX+NXa4ZfzrmO0q8LjWJ32+LW/RqQkxy/KHqviej4+70OxQDtkWVxbn+EnXIbIxDLuFyMEA351Nk20W0L06uR+fJbjB8P5Kl4/m0VUpsgQOcCvoh5t0KdxhKdexn1iFKJFW+X45bjEL0rHNXeIwHWIOhb4BVTiF6Ln+MW/jP55tIjj9/w5mg4WCLjmfe+LKg0bRrHW8bhFX0OQwobuddeP8wJRRvTHDr+gt9toM0eULS8wfSA61Lcxrgf8SuW9bdpx0t7dNn7x8Rfs8iT6CKO6u10cyxHt6BhlRnRgVsecwuhQi5/ay+OYmy4X6Ps4n3v3TnHWH2+H4mJ1fv14s4lr6BleQR9nj0qYjzK8ZsCv6/UGkYCe9w591uJzGZVlf+c4Y8Tcu3EuQf6SzkbROER+ekR4GOLHfI7Ag9WI2CEIZBi+lraIDuVxnT3Om5ETKw4/Ns+fj1JjAyNx+LplpMUwnyaMg3YX42h9eRHvzeMasxTXuMM4bS+jvXPMY3kd57ClaoHHVTm+J1kd82yGaDX742a9xp8xV85j/FZW4TX4zs3j+ktEb8YlFKGMYMxuVvgu3j06n6UiPEIIIYSYPFrwCCGEEGLy3ClpVYsI188QNsyZuwdh5uUiwsYzhMr7UUgz/r6AdFUusfFwgLyBsHSGzyoYEmd8EyH9YjHeSHcC+SHHhssaMg63OSd8BtWULUKQ7RDhwnoWx6e8k3D9i5PYwN3hXmxWEb40Sm8HpMLGzYYbVLHxGlFmy2eQODqELKtotwXuIzeMbyFrzGfxeobBd9wwWaBPlZSusJmxG2+mWzeQJbHpu4EMNkcfyCFLMWRvCJV7Fvfe8Xtg0+KzIZmVCN+WkCK5YfT2osUvj34bEkgJObTt4777Lja/97jXDX7m5AhfZ9jk2SPknhA27yCTNJwHGm6Cj9dn2HhYYmNru40QvZmZQ3IpYApIDeYOhLgzbMqkjLfFcZbov1mL84PEWCRuEsWmyhZzGTbyD+3hJRAzs8uLuB+XqxhrhnbgpmXDRk/OTRllJhx/B8mJJgrsQbYdthjwvZQGB/QFyrb+Y/o4PoNHQxtiJ4EV3DKBfsX5pW8h/WA4Djh+36HNcV8qbh/AhuzMx3PKIWjXD64fdzDv5Jg3+xTt2lLOhQzdo8+2GO81JMyCxgRsBF7voj8t8vheOsF3NE0pGWW13bgcYb6NeaS7wNjEPNKtMddgTpmfoNZoFedRcqNyBrkZMiS/1wds2h6wOfkcnzvqZy+AIjxCCCGEmDxa8AghhBBi8twpaZ3ef328EKH+nK6IHXaDY5f//9/enbS5kaTJAfbYseRCsqo1PaODLvr/v0gnPZrpme6qInMBEIhVB+nh90aKxRr1gAel3E5RKCQQi4cHaOZmVkH1j9d4/wjVeezIAWilPZG0FpwWWE0OuChK8nIm8wDmrROkNdNFmY2/X5U6kGXkXyukqBK694AT5EqWxpCQ/R5wvpnPw3a7bPf7VljWkBdGVsyPuDYqHBklUk8XSlxKi3kP8bKSwOUa57Qji6W5i3248r0L51HnhNkVRbt1aY0vkT8zT+ZO4CRqdJcp3enMY+yxHzrwCsaz8tlVaQV3zW6P1NW8ySi5AS79l6/bFf9uUQ2sGlxNlzj2/gkqexN0E5sN8m9HxpEZRM+noM2Hc1z7yTwQPv/+IVxQzbCtr9spK3Jthpffvm6P3CPFzPzyJfZjQipbBzK/uDc7pLWuxYGEXNMxx+2buGe36UG3Q48cMS7cj4u5Osy75uTgfCoX71+yVUpkyTG2R8b+hLy3ySxbccSiOGzGTrWVExayZWq+Y+UDzNsZuGc77tnziGRjds0mHAgHliaijX2LZxDH8H9Kcf9xlEjJFXPIwrxp1k1hZhHjruO5lBinFfNmuTgBxzl/aOL9+xonImO8XGN/dH6NbxyUyWyghJzP87vjubEwFvbsd7PTKhrb3T6u/cS9rzt05nkysbRhZXyM/45LmRmejIyMjIyMjHeP/IMnIyMjIyMj493ju5LWnmC4hWjn/ilWoXf8ZlqhEHt4wwmnRQkVueA6uG/D4XKsv+2UuYNOl4rsWeUuhd4P2yCi4hw0+u4uvm8hfGsl0HAl3KyBIjRsL0EvNl3IABeO35oBpZcKV8yxM/Ttx0haHaGPLTRq2eikMSgL9wPaVUO4455wwmsf1OQVOXCacSEoAbKaX0nz1BM/T0DVjJMjpZTqhoBCpNXWAEyOZ0UqnS7IIzrNGMNlhzxQhSRiBcG6hlSk7FUzhtvm9kLImuJ4L4zzI2PQGP+ZCowaOWiHTDhDFe9wCu4XKhpw3O2RSP/G+R8GxhbX7PTXoPqPb87Jw9Gqjzie8y+/fN0ekQfWkrnpFNLmT+xfg6xSneI67VO8R2nb2owWW2qJaWXubi+BpJTSFWfhwpynYbNiDrISYjbcrsBtw1wzGgBpRYM1E4SxJmSQror7qeq8V3DRTNs5ayODaali28qVinNvkOKmQgSpZJ04FzrClKc1726qfpxTbj/XXj7/9et2wdxfejENcMRlWXosBP4djnF+zq/Inzz7GuSm3Z4lHyw1uZ6Rwlmm0vIsqu+39+aCVnQhDHFkflFWVXK6PMX36UR2ucQwEy7L9dNtuxjeynh3ex30WH8bmeHJyMjIyMjIePfIP3gyMjIyMjIy3j2+K2ldfyfoaSJ8aw/FWcw21ULTISsML0FrnfqgoI64d5Q3DAk70K59p9uJr+0JQOv7rTtmgNbtcE5NfMeMQ+DhEFTuE1SevxPXERnnqkwUf1tAM19hUO8IWDuwgn1abx+GlVLauN/aGmmCMCobbfvncLwUnK8FKvNI2B4L71MBb14R7JigL2uDAHHQLfacNcqNSIlpKycdj3Ed7nbQ5jW9WiVNvwWBhrw+1MgA5bedg0orduJsaF1o87b87m32d+HAPXUyVI8wxorxfmAXWmTl8kKYJw6aO0JBu/rKNq4LaHkzIXtcbDtki+vZ/dy6euw2O/B6xXyx4DTrkJx2XKcjY1PHWo0UdUAK1R1YEEK3GNq4hGzw2yVcY7fEaOM5AXVK9wX7ajhjRfKgIZEGwyXGe8HFmpnX1h3dcbVpht8O0VQOTM32387LVVcjsr/LFXxGIGNNA47VvcsYmFMo35ovLB/A+VWULnuwgZ4usX9HWN3/Lc4vf/u63VU6mUJu9roqGdlDpcQ4Id3YsVVw3rxOOoCfWIJieOPxLnrh7u9j2xb1lLZz84g0eEUytYfNDqy+M6Q3whN39CC2PYGMjCMdhw61mfnXczT2W+fnt5AZnoyMjIyMjIx3j/yDJyMjIyMjI+Pd4/tcO30fBo6VRyUdVvbDOzXwyY00MzRjEFkppdHAt3j/hw9Bte2RmIqVYCsWZ3f2u9Tb33NtZT9OUGo1q+E7KL+KuvnS0EKo9bWBEjaQscTVhHRTIxWUdXxvUUFp/6jgQX7f1tDJxaYbDaqYl2VOO/ZbOagokByQEAx0Kwi4KpH6ni6xmt/QskccV+W0pSzPOI82bj5o8O4Qx9m7ih+HiXR/DQVtCKGdOLrXSkLs/EzfUxW370ar6hgjnf0zp6CNKyTWHed9QiZqCNHce+xffv26uUKhL31cbx0VHznetUE6ZXxUx7iWujhT2lLWNePiZyj+Q6GDMsbaDtfcoUKu06WGE7NAxrOeaknKOOxfHeOjf4nze0sMjM0C2XcTjOcSg8p5jqDNuuZ1xiyy3zgrsce2V2TRscb8oIOu3EyvW/fauHKvGirICZ/Tt6Wcdue+2rEVH9lsHJG8n7F60lHk/M2tX6Xbz7VX5jL7KMsxxtHEtVyQkmsCMnucpAPzcqucSQ+VfVj9KSTZK31TC5P6rlHKR/Lrt11aM+eu5qIXnPd8qzduAAAgAElEQVSeZ2VlmCdhmXvlKhxlHUtVJpdOrJ4juuBwTxvUWExZ0srIyMjIyMjIyD94MjIyMjIyMt4/vitp6QowTKhwhTxUf8FK+AbqrJ6RuqA3W6jvkbCyvvx2qNYZirKy06NUSoLefBNENEO7dVC/DQGLe14foLhXghcvQ7znrut4PajDlv0edCkgE7p/IyvbN7LKDbFyPD1BcfbylIRR7Y+4RZQg6ISxh+t6NfiKHifOS4f+uEJ3VnXsT4n76nIJZ1Zdbh0Vn37C0UDfy4AbYHiJzz0PjOeBEEZC72oCsfY4Sia6xxjmm3FbEyxWQdPO6fZdWm1pABgONxwu02scu/1R5Uigl/aqMt7TKBEyHu/p2BpxRBpC1/B+Q+cqnIHdm3tzqpRu4nh+NsQMuVp31SecgucRKh8HR72LsfJCj9eMs666t2ML+e2VTp9lG2Z6K5wv7BNyzd4uORIQFzTmivDI/SHmsgIpVefnyJKBtfCccn+pVyF/15VzOfJhsZW09rhUV7SoCklrj1xtH9y0GFqL61DZlM9c7A9D7hlfuVb2bRkEu2z3+xaYmLNW5tOiUfInaNPTXijV8QzRWckzp1xww9nPtZH8DE3lWvD4n3rOVacrb5vzd0EeK3hW7tg+4PYrWF4wc8/ahVYjpracrx6JTjfdpMyJ1De+Cab9FjLDk5GRkZGRkfHukX/wZGRkZGRkZLx7fFfS6q9SROU3tlKaCfspX4Nmrzt7UoK+a+kNGelMOl+CKusLZan4zI/0X/35H36OnUBKOL9EWN75tKW4VqjcpYz9fvY46fRKOKrs61qR6Arq7A11KpDlugWKz24Y+oQ2PUE/IAwrpe1Kf7tJ1k0vD+4XnHmDcpA04kxnFpTiigR2PYfEVB7i8z89PMT+cJ11uC2EW3VvlL7DLuSVGvr+TG/ShAw6DHa/xOf2yK8fkTcfjh/jM3FMKMueYX9nJaEaaSH9AIlyiHHe4XZ58n5EGlhJoTMMcH2J+67hGuygwR+RNH4ilGzmvL3g6toEqVW4IaH078ptX09NP9tAIOkEZT9Ax/dIXR2ukoV78JVzUZcRVLprY9wMyrOM2TMul7LR2fJjHJTXkbkpKZMiG9ATxstpYixPdNihMqRGdyguqEYJH0lEySXhdtshOSiTtuXbfztzrRbdgjhF+axJie5qwCAdTzh/h14HHvPXrIMSOUUJlftiHm9/PQuXXhC817L/Fcs5Us/cb3AiLiiDT+f12zJkxzVwOcKMs7Lzucx9UG8tcJvjWXBEeo80SFdKUfd7lkJwXxtU+Yqb9PIUYZ6Hx7hPnb965vT5zLOY/Tw//7GDMjM8GRkZGRkZGe8e+QdPRkZGRkZGxrvHdyWttgo6ytC66zmo4uGZICqzupCuCkOy+PwSmv2M3FDg0pgG6DFWebdfgjY83BOANH57O6Xtim7Di87PuJQa6OQuXn96DRrtmd6bkdXwZtmt0I5SeRNlWi103/Goe+vH0OYDEsQy46RZlJAIe6LHqsKx9Bn3Qz9FyFZNCGM5SusSPIkkUFZxTj9+jM+/rkiMnLtjt4mqTCtyWlvr1MBRd8KZx2nVpTavQfMuhCTOJaFsSChtHVTwjPRzuhCqiIxZlbeXtM6Mx2LCKYl7q9iYLQjb0xWxpz8JmeB+F+fk54dw09RDnJN75of9LqjoC4GQsyGdr7H9eL89Jw+UfZ1xuC0oX5cxPveU+Fzk4z2UeD/paoqTcf8QUuUvp6DTZxUEZJzidxxRt4Tzq4F8qFtp8Roi1ygNrezrvvt2uOqVsb/rdCIGqk15UezbwfGC46qhhyyllHqDITmeHSGJOs1aHVjcv7O9WsxB1T72aSRU82UIh5TSoL1im17IH1BbuCMItEgE03JfKP9rg9pXIYXr3ioYdwby6VarGwcLwb/0DJre2Kha8v75zUm54GosceZVOI7T6nIB9ht5r0Qq2xEuOuLKrSeuMUtQ5vMT70H2c4kIz5zfQ2Z4MjIyMjIyMt498g+ejIyMjIyMjHeP73dpSVMi0SS7dZSfqODooSulPldoxpYguQUn1yvBTd0xqNvrGu/5b/8cVPSnTwRYsbL9fNmGmy1QZHscNeOEU4HV/AudOwOr+T8TZjdzjlZW5O9w+9zfhRtphfBbkNgqVrw3u62D5VYY5zjmUw/NCY3Y4SS40k0yQ8FO0JELFOdljuvWz+FyedzH31YdFGQb5/rhPo75RCXKlXA73SUppTSr/PFZUrUjRP2Ba76ekWj52OdrrPQfX0KuGpGo9nC2O1wPOqGqpeU9MRZuhaYxLDLGr/fLgsb8QPDeEXmnunIw9r/hxqiQCXZ1SEZ77utuH/dgc4nxcToFjW8/U/eme6lDDz4P7lP7rc20oxvL7yC3Lf3884ev25+Zjxao/+qIJH3F+cbrurQ2uv0NMRGMNyCnlYY7VspedAni+Kl0Dc70R+HyaXRKWR9mkBzv2X4mgXH2n1XbR8mEbNbyWS0ShMfTc5xqiwUXfVmRaZBHFs7XQhDqgDzvXLFcDST8AS4t3IELMtzI+GramBMa7wtO6s6QR7iJEfloYF6uGUMb1x/P7nMf87IdZ0WKeeOp30pDE/Lkeo17reV52nLjdZuxQ4eftZuM3waJ6opjazMmToQ56lJDVr+e4z2/h8zwZGRkZGRkZLx75B88GRkZGRkZGe8e35W0XghEsqdjgn5eoM7OF+g1KLK0f/y6ebwPt8CKG+n6FFTbGfr1BE2XkBU+Eww24lJ4wKUxVtvfc/bmwHymiVXy9oa8EFwo8WnH1hX6r+YctVB5FyjU8hDUv9aBCSlt/QOl8e9FWcd3L8hSFSlmw0Qg1IljqwjQOuCiwAk3MhZWPr9nFf7ZfCtO9kw4YYXkULaEcrVb94AOjqmKa1XgRCj5mwWq2V6msQh6eXU890FBpzLO3bmNz/mQYry1TXzOMkkX3/7fFXVBxxA9VFPtueP9uDwOh5BY0wkJt4+/HbiXr2x/+hTH+HgkOJLAtAbX2Mx5eH6OfX7tt1LC8UPMF82OgDl66LqKUDKCy14KJHa6l1a6mlqk1N5gP4x/NTR7Redbt4/7Yyl+jKSlDjsQcmrFWMO4Lgyomwy3i30tmI92BKRWdMfZ8tYwZ1V2+/GZA2FwFff49Y2ztHNJA7qZQa2jzkeeKRNyZ4cbzT4wdjXNSCujYZt2LOJQvTBnF7dXtNJ4/vx1u1GWuo/xeLRrDDlocs7h2vd2MyLDTdyzieUI9pFVPK+OtfKZzi+WV8xvloIgoS2Ef67cCxOa4euJsYn7rkEaNkS25uk6EzS7d594VtoFd2b5S9H/cc9dZngyMjIyMjIy3j3yD56MjIyMjIyMd4/vaicDNOM6uLIdOaAiKKglAI1V9KVWgBqnEFXz1yJerx8jGOxEuNEF+m4m/G3aBbXeN/F6vwY1nFJKL9egv+ZzUGc7HCwd1LKSWEU/yGEXkkYzBOXa7u07ic9/fon9uNNRQf/TjFumPkg03w5NGXLijpDABWp5hEa8unoex0dqY3sgBOv+A9eEXqYVyeHKiKsJtGsIeWyQoRquzThsnT1FqSMDetxeJsLuXtin1zHeM69aOKCLRwLa6CKq4WNfuC8aghDrRJfWfHve/PHBfra4v0r65l7/1eC9+NvDQ+xbTzBa/0u8Z0eHUcGxF7v4/KLlnEBdf/xzXNeT8tYlvqBqt8GDFa7G3QE3DiGUL4QYvsL3v9CFd6GTr8BBuChJprgfL2Vs1zXvdxzgPpxxpd4SBT1IZaVDLM5TWcdcs+viPS3z624f23Y37XET7pCw1xm3n3o+bqoeF9x1jPd3uGyf3/QYGYzYtEifvGdEuhsIt6sIGK0I/7ye6dtblF9jHlAmG+2o4ngq5vhyd/vlA+M5ZKm1QjPleBNLG1bmnwuhvivLHCbGx8wcPZmo2Bu+SvAtslrJUpMSKe2KY3i3p08ypVTTT1fveMazHyP3qebuhnmhInTXJTINvzM6xv5QKofhmC2Q2+nYqnLwYEZGRkZGRkZG/sGTkZGRkZGR8f8Bvsvn1chDKxTZ8BQUb7lDPiCg7MJK6udLUE1nqMjzBYqP1eOGID3jFLoSsvRwT7X9h5DAZiS2X02wSyn96xccHEgRH5ABijUo8Rbq86E2DBDHg3aB1t+P9jPF915xC3TQemUV+1AWP+Z3qAF1huS9QBXPyDIVsuQLDqeZTpjyEOOixZkxdYRgIUXplFtw7O0eY3su6G5poOLXrQyyEABZEB4JK5w+Q3MOZdCiV+lYAq4mjr9UxaNX7MrY6Rp6bWbHcBynIZy3wnEXdHdpadYS+3A50gWGJDmuBmdCm+PAGHF7La2uKWRO5Ez+NE1Q0SPj4OJnztt7s7nGfTdDa+suu0Bl99D0PRJj33tvInkuMWZfGb8tPUMzjsDdkf4o5od1vv21TCmlouFewHW6Y37tutjXmjTAylBFpAmHXcXrJe6lkRDZbo8Mxec/ESS5R+ZXijm027DUGllqRWaacQ/tkDW9X5TTbC5bkNMG3LubjkXm/8vifY0LjADDu3Yr39wCp88h7+3bcBYOLzHGO/azpD+rK02C5JnrnIO8dU3fHqdl4fIPggdf45yMr3EP1h3LC96ESM7lJnmS/Y6X98zTXjOd2DXjpTNck2377Eqe90zXqfNc4Opqpj92UGaGJyMjIyMjI+PdI//gycjIyMjIyHj3+L6kVUJT0QlSUCZkk/xCvw8K2NYFAyW8rLoRCOGDvhqQlVYovjPf+zecON1d7PPruqVZe6hDOfjPdGYVrDb/gIKy0tmhQ2DiBDQ4Rxro4Y4gtRVKcOb4W9wvFSvSb4lpjnP8ak8YPOKVQL6GVfxPFE5dCRx7INBtQksqOlxThzi2wyfkiruQJTGQpVoZy16xZTtcrwtyByGRV67h8UM4RC5z7PfwBUkFOXWGvh/H+O6C11Mf0q3ul/s2aOEXHF4f727fjbYjnHEhhPByJixzIWCtinP9dH36uq3D5TLGcVk31NAv1v+CG+sYn7mDyJ6gll/p4fncRyCbFH1KKT1X9PLg2DIcrUMy7kscO4y1D3/+89ftmTE1DuGcuV7oOmIK3O/j2Lq72N4/xkRQVwSH3hAHQhJHwhNLXC7Ox8luO6TFDudcybICOw+XVedTyHt2N5Wd30twYM01eGE/yzePEueUCffiRq5HQsS9a/DgjFNpx/Fzy6azQaPoKQ2O2KtOSeSkpby9I3bh2pRcy5b5Zz8qDTHWkAJROdMFh2JiHp/sKVNW5DPnkrmYZ9pCqqVuvfqNgzI9fDtQdRi+LTld6VHrX+K+OyKt/UTnX2E3lt1mfOhlMvCSgFsk75c1Bw9mZGRkZGRkZOQfPBkZGRkZGRnvH9+VtGZoyRoJyN4cV+ofCecrWRXfsAL87jF6tdo+aLqJcKMRB1G547uQlYZzfO+vp9i3A9T41AblnlJK3cO3V72fn4N2K8b4rCPHP0CpFdCO7R09TCthftB3bSklHsd25pgnJAEdVLfEQrhjUcd+lwT4pT6cBM/Q4BekyJ5rPr1AOe9j236UGkmvPcb1X5HuSsZO2/CZOA8ub7tSkDIqetZWC7sOBACyrw2Uan+O734dPAbCvuysmZUEQgZKH3BJDHH9i3t9C7fBnz7G2D7jtEn0Kj3jIBunoJlfehxO3IMrfWkjssJyRtpc43hfxnCgLNc4bz1OkDOv//M//4/4nH4bEnZ4/vJ1+/4Qn/vzpw9ftztCz56R5folxuyafvq6bcCcrrz+xH2H86eBWp8Ge/fiHB12PyYUtOyQtHndTr6Fcacza4+r6Q4HT+L+HQ3FxDnXIOnY4Xe5eI7iIxvdqoUhjG967ggxLO0MROL0L+r2264rpZI9IYzjpnuLuRkZ74qzdFmRSfdI6fXtr+delx3LMHbINXf2Xhnsxz3oWFt1t9L5tiNQs2IcdC6R4Nn9RScTTq4VqbI7bJ1r5Rr78fKMq7OIeVNn5QFJ+soze8dSg4bvq0Zcv4zrlmdCwzzbVIQn8oyulixpZWRkZGRkZGTkHzwZGRkZGRkZ7x/flbQ2HUus+n6BBq83NBphU7xn9yFo6ftPn75uN6+6QoIqm6EEdUQZ7DZiZDrR0TFBuRbVlq58eAg55drj2oA63E9Bpx93rB5n+b+dNkcCEK+sdL9C00lTJlwnC6FMk46Kfwc19/dggh9eZL4nV8PH6wV0b4OM1w/x+iuOpWn9tqRV0PvzeontD5OugqBm54WuLt5TNVuq9fCAQ+qODpbhb1+3n36Lfeoe4lrdTXFtDcl8nUIqORLQNsvrc/KWwjDH+Jz9XYz54q2D5QboOlwLBNIlnBdPr+znJe6jotJBB7WM46zn859wNa2Ep32ewr210AX3b//y69ftl7MOMjqZ3vaL4aKqGHf/tfkvX7fvCqhyXFoVrtG/XX/7ut3N4dAbeP/uTjdWzDUfPsb33t8xbg7x+fc/QJ5MKaUJ1871Nc7TSr/XgWFUIFPUhGKu9BOOypv0O7U4W+5+inG6EgqIopnqfZz3FsmsRi5+2zF2Pum2ifFW60DjmbIJ7fT9yFtKiy9Ibi+vLCXgawv+PW+Y6/WCw0078a2AVnfgWbZnrtgxnRQEZ672VPJcMzBw5SDtVKv5/LuHGPstY+UyutQg5lMlsPVNUOqIzH/HXLbweD3xDKl47t7Tc7kQ+GnvYIX82XE8OhSVKr2uDX15u38HfZMZnoyMjIyMjIx3j/yDJyMjIyMjI+PdI//gycjIyMjIyHj3+O7igu4x1rOYhFxdY91Gh862u491Hg9YQttdrJ2o2nh9qVgbgL1s5jMbrMtqjr5+ZE3FFf10XLf6rHpn8RBrRoZjrNtY+liXcCCRk11K3YE1PHdxjmZLKFn/cWFhzIwtvWLNU1FQgHj54xK0vwf9KfT9L59jncVUhJ46om83O5JQSeotWN9xthiQdTvzoIWW5GQKadMSrw9jjIsjls22iPN7OG5TbpddfN94jf3+85/jff3pX79u//q3GLdPsaQhnS9oxazVWmbXScT1aSh6bdHcC+yxjcewu/0aHksvDyRTFy0p00+x5qFi7FfYSSfePxqvTLL6mOI9Ba+/fInx9PQc238hUfmC/p/2nqvtv7UulIcu3MTFSxzbPz78/HX77jHGi2uYXGu4Q9TvuE5aoFvW5Pz8n2LcPBxN5o3747Dfrm+4FWYKlq+XGJy1dmTXm7D8zfLYjnmxcjEJ9uhDi4WYj9xX356DE58/9zEW7E2epu15WRhLPArS8YjVmCTknnUcPWu9RlKLB+aale9rWEe6bGzsrEFMrDskoX2cbr+G5xMJ5I9Y4I8dc18cVjqQyt+zbxNzqMs6j12snbpviRfhOrWciIqx/2FTgs37Wfs3r2/GOP9pxMqKFX0mZsIi2Jn1f4n4DK31i1b5kfU5jNPhTBHwaip0/Om++2P+JjM8GRkZGRkZGe8e+QdPRkZGRkZGxrvHd7n2L69BR5nOWUI1dVD9jx9Dfqj1PSdo8JeQFc4n7O1Qrvf74KnqOuSDebVIELqS5MUZr9zluk1z7aDjW6xz1xE6eYrX/Q5Jvh2fs9vF9gUL/ZWyzRUrX0nB29UkY+hLU15vCb/PxNNEIm8HbV5CFSuzXTnOmoTYwz4kh6IMmfDjATt4o8U16O0RG2v9GO+fzpTDQaenlNJIKrTlhdUa0sTlFOPw3/4ScuVvsXupbSKu4B4LbrXEsU1Srcq1FMBOSJoDsQfpLj7/ZlhJ0SUt2HiDFSt2g5RYY+WsocFLZK+JSIYTNuF5JH0c+v2//yVkrL+tcXJ3P0Pp38V1OZ1IqE4pvVy0l8a4OD9izSUp/fCJ/SbJu8I2Xeyx0JK+XY6kwGPZLZBkF+zgxRrz4PiD7s0dFu8SO32LfffTXRzbvorrf4+k94GohqEnjZl5dH/P0gAS4cdLSEkD51Hpqq7fFEv+bxza7b+d2w8sRTBtWCs60snrZ2TQ17h3XCYwct2MLplJcq54pDU8g7hNN+8Zvv8I/LvwSPxJi0Tea4dnbr0WMY+dKUheiRUwWfrI87fkOVbzbOmRkrXDH3bxjB5JeCbE+/+IjJiRD3skqrJ0SUYcZ4NERVJJeub3xEqxsRKr5aErz/uV3xAl8QlGMrTlm6iLbyAzPBkZGRkZGRnvHvkHT0ZGRkZGRsa7x3f5vKcnZIk/Bc16BzXdQVcuyAqvl6BcO2i3BeqrIJl21wbNetfiwCKpMeGaUuo648Y6S1e3W1fPHQ6Bagl67Wqi8IdIgp6g5k7Qi5ZKrlCHHVTbCxJVTQJzTdnbZY5zdOX9/ZtixVthhUYtN3IdEkfJKn6KIusKZwMlnCvJnY2poveR4Fqv8ZnnF+hnpJJ0RCrBvVEhm5woA0wppctrUMG7Rikzzvcvf4FGvpa8PySENMd33N8HHb0gp2k2qqB4NQJuijjHOHf3+9tfzwKpY0bGKkmsPSLpTLy+cbXsvn2uvU93FPI+P8f3dkiV3YWE8g9xfn76xz993X78Kcb+C47BlFL6gDOrw9X3Ecn044f4jv0H0lwPsT1y75xxfhVw68USY2KPE2+44sSjYBQTXGpwVt4SBXPbWngdkNl4f8W8O40Uwz5RxIicYj70+BzH/wXZf7DEkgJXU713FEu23KfFm7m2Qiqruc9PfezfhULI56eQtCbuX+XjpfAMxHW7cs0nU9CVpGfmLOap4nckuv8I5jL28wnHWcs1u5I4fZzYZ4sxoSMKlmpc5/gfmPtSifPp+ddIHN91FHjqrDLQn7mun7ey7cA1O806P3nW8uxvR52f8f5ntnvk0w/3ccwPyNOmd1ekgx8pI2+q+K6u+mO5OTM8GRkZGRkZGe8e+QdPRkZGRkZGxrvHdyWtnQFVFJztKcBsalwRm1Ai3A+UPrqYf0I+qVhGv+NzlLo6QpykIpeLtGzQWvf327LJDzhwCoKoJij7mlXiX16w8mzCEKEFJ8Oh2IYqnnE1XXCmnZ6C0j1dgn5/fd5KN7fCsnybEr70sd/HPfQqUsmMdFVRxFciP6QR18WvQVmmM6Wqz6zs/zmuh26eX06UzOE8aNrt9WyQYF5+hdanaI8cyVT08X2oGqlB0uyQ3xZkPMMDR4oyyfRKE/pWRfHf6xv55hZYJrhsc7u4lg07t+kXRaMZoPq/EHjXUD54qOKaDQ3hb4yDfypDCv6Z7Z/+KbaPHy2dZXyklBZNgzglG9xxFlfumY8+/RTyy/kZZ+F/j/M+l3GcR5yIe6jyEXfQgONDabD8QcW+s+4yZLMdktuyMqes35YgrlccZQbEOn/v4j7QqbMiB/VfvnzdHsr4nPJTSNWTYZzjVk4wh3CiSHlSriccrzAxkOM5I29xu2+ktQeWN/TIPS86ZUlqrOs4/rXazim3wP6IlHbmHqScVzlvxLG4zDFmdfc2bdyPM7LXNMb7hy8xZn97CYlQub+jBLri+dsa3rlux/iF5SkvBErObVyzu0OMhXulO+bB5PEwBieeuT0OsYJC8ZKxxk+ORI5v6to/liczw5ORkZGRkZHx7pF/8GRkZGRkZGS8e3xX0iqlmggNquj+2OF8ssvj/vgx3gNtWEJXzkXoDfUKPYqDZgdNtdsTSHaO/ZnYHp5iu5+2QUQDtOm62MvCe1gZPkOvLThwRlwH3WPsazPbpUQYInLdguwz9PH+p6egJp+/3F4CSWnrDBiVqJBiCkK8Dm1IBYlusIcyru11imu4EhJ2gsodkJiKkcCwEwFjz/R22YFDV0pz2Ha87HfxP7/8EhT88wtBkk+EV42xur88x7loD7iZcKDt97yf/hr1odNFdxFSL3Sx0s+t4H00bsYpsiodYSUSgKGFKy6groVOJtju8SPdPR/DxfaXf4mesj/9Uxzvh//856/bh59wXH6M87nMW+faFefQ+QshnM+4IJHS7+CyP32I67fHfXh9jbF2/gXHB9OCwWVVgRT6GuNp5Nw1y5ueoRthwT3TdXa1IfvgGn1+iftuGUN6L9EGW0MVmXcKJAeDBEucYhdcagXnJQ0ERuL86/ttkKTyrt+nM7PCRbZTZuOxdOaYRx11zGUWKrWbpRfxelGGZH6a4/V5uf292eAyHk4xzkuXQiCX/8bcfzqxnGFVAorPeXyMa3O3i/vu334NGeuKVPmR3siOfsSmVC7kfiz09G2fd78RHHxlmccjTsl+pyvs29JrybN5ZHnFZ+bfM/dgx5KCP3E8NZ2F+7t4Lv0eMsOTkZGRkZGR8e6Rf/BkZGRkZGRkvHt8V9L6/BSUkuF0lXXxLM5fr4bQ4XK4h1qEWl1XHRhB415ecQ1Bs9e7+LKJ0LkVSWt8DUfAWG5/z52QFnRUrdCjawqab54IUEKuOUAVH3fRH5Wg3C/0PhVIgyfcWxV0X0NXSFp/DG1+aIJqveDAG4glk9aucad8YKi80BPVE3RWQE0+PnzkPYyjEboXx8tvVwK6GmQMer4MS0wppQKq9d/++tev25+/BMVf1CHLFUXQ5he6u1rGRdHQmXXARch5OSHRlVDiLfLrCh29P25D2W6Blv0ccQp2uMZ0YCnJFvTYlFgefv7EuWKfn6GiV+SJGRdQQ//dxzvkjC7O1YeH+Pw/ffxPm+O5IGn99V9Cril+4trQ55Y45vvHGL+HQ+z39QlX3nN85kyn0Yxk1Nbx+crZAw7K8gfdmwuuq9quwgIpEjfqeYpropuyIp5wX7tMwMA5Qxjj42sC6g73cR4r5GxlqAY5ob9sJa2tqxNXEXPEyj2le6imn7A8ETBI5+HC86jh3+3lRo2Jv9WNpnFo3P7BTdAxzw6E4T290FXGkopXnl9fXuM+bbrY/+kl5twTTrRHQvsmDmXluAz8G5HM7u/ob+NazMwhKaXE16UW53OFa9YxNenS4hlsX+SKu+zKMS8D8zIBjsc7AhmRtxrG7Lr8seMuMzwZGRkZGRkZ7x75B09GRkZGRqBJQ2YAABF8SURBVEbGu8d3Ja3+QjcHoVcF3R8zdNQBKrJtcH9QeT9dg/q6vMTf1mvQzDs0swtumn0X+2OAYVfg8KnomOFvU9quKm/oelmQVhr+/qzriMCsPS61Ajmoq8MJcDhAv+NguNgnopRmmNIPcPWklFKNE+TuSFgb9OfMuegNgysIeiQYbtdGENlKmp+9LvWeAD+GHJlv6fIaMtQTUkkLvX/tt9ezoBPq5ZmQSMYDjGdq+Y+x0DkSVOh9F8fT4i5cCfHbtTjzCDFbpIWRunSp3ApdjYOS814QGtZwHuaJXrSdfT2E6pFg2NFpc0WGtvPNAL+l5HVo/IuhoKFspkuxDTc7nXFmcb/c4Xac6L97OHjNYv+ekIx3dEAdkcNXW6kmpHF6eXRslQShzuOPCR7ssYo2qGYjQ2fj3kJyKkj5qwikHHTCjVvHanwvDj+ubcW4WFv7wxhTfCbTekoppQnp7zTEdVuQEDsOVKcOamIa+Jwz+zcwJmu68ApkrxfG/wuphT0OsqX99nn5j+DjY4QEdkucu+dLfNfk+NrzXOM8LjxbCubfC52NB5aC3N3H915n5wRketyN7Q4JCIltGbYOyj3Sfkt/nq65E89vFP80ng3a/SW+g+t0ZnvHs+8fCBR1Dl2Kb89HdZODBzMyMjIyMjIy8g+ejIyMjIyMjPeP73dp1UGbTizd7oeglAx/W6QNkYBeq6CN69X3x++taQiabkUCObOq/HC0qyoouMKV3TifXvst/VzhWlDeOV+kxeJzB2SMyxTbn6Hfa4OicBGdWbVuhVWB48VjntzXH+QEkcrf4SSo+d3761OEV71iZziiITaEeK2tciWBiTjcHu8irM4OqAnadRzpmSGsq3+O7cPxzSp8zmVV6MaK/T508frhGPtht1DF8dclDgvGeVPjujoQQojza9N9g2RmkOKtcKWLqn/97ev28KysGPdv293xOg4krkFpON01zsOee2pFJvl4hysRqXaHCywhdc3PoWm9XCg5Syn1PX1Qn+Oeskuv0uGDZPqK42PimpXIVfe7uNdqrz336TohsVcEUDJXpHXbGXUrXEdDH+O7dV2VyBEF/WYlspQuqvmsHKRryvklxumItNAQrtk5H3n4TGzlGxl+wHU28f90Ei0E3KFMpFl3FXLMRGfWhDQ2ImklnD0Lz6aqRHoe4/3LD/g3/08//fR1Wym1QetZkXoe2f81MT+uSn6xnz5bfkMynnXY4hjVPaoD67rpvLLLbPv8mZkXzk+WE/JZBPZe6Nta6AwrkG0X5u4CDbMjwLCqkd4JHbYLsOx4LrXf/Tnzv97/h+/IyMjIyMjIyPh/HPkHT0ZGRkZGRsa7x3c5oIIaeljwNEPBWdu+QHEqGRVSbSloyQMpaQ30WgFd2eOU+vJbUPfjJVw5L08RyjTQ71K228C3Acp2ZdX7ExJKh3Qz4HiR5cOkln6F4luQMWYCDDuotgdWuT/cxfYETfm2A+xWkJlecWMV/I89nVHVhButjP0rkSm6hXA+nDct8tPdMd7Tv4RkpntgQZaAHU2FtPn9m1X4UPMF4WgLlPhuHzJWjevqSo+ZbO7aE3TZcd1wtc2ERPYE4B13QbsWBpr9gHCzivui43gLO5m47+yxWqGEn2Y6pnA77XbIucqwa8hNHwkA25FgVyMlNfytQXXjaSs375iKCkPlJjrzkFhPfIfhZkecKhXy2zrEHNEiPZeM2QKXmqFnDdd4k7p6Q6DQbxxSV/ZjYn4pcE5NuHYmHFvD5pwyZyP5rsgJyiD2Ip4Hgv0MMJwNbN1KfQt6x4IramKZwAnHm88OHZEMn7Sszu04KDlfNffp5HtmnGbsj8+BW+HxJ5yee7rAmhjLZyTylkDCGrtbz3NJCU8pKTH2R8P/lBg5Pyib6XEf56euYt/mefuzwOBcAxxXZSmk3h3Xb7SrrTYwEEl25Loy7mYk3AV5q2K/9wQhuhzl95AZnoyMjIyMjIx3j/yDJyMjIyMjI+Pd47uS1gS1vBq+hRQxQMEVBEk1UqhoQDWhfd2eECokrYaeoAQNViz0AUHrTUhPPeF0OotS2jKBujk6AhOPR/pnCIGqi2+/33DCGSnqQJ/QlZX0OtMOuHeekD2q6o9Xm/89kE62x6w7Br14+BAdWC8vIdf155AESijOiU6f1U4fgh0LNKMCt5tpi4934Ww46KjAjdMSgPW//icyFlKL2t3h8IH3xHldUrx/vwsavCKcsLavChq8KuM998g67QFnE8F41xNJXLcCTghMPalAe51w75Q4KCtkiY/7GMsjHXGFuiIySaKHqoLGftzFudpNuDEInRsZf33P9UopVQVSie5NaPNRZyafdcCNUyqlXOM7dCZVnJeGY2iQATrkt4Yhu/wguflXOul65q2FL19ZAmCAZ4mzcOHeXHE1VXQbFpyL8YpzyM4/estG5PkCmUGpXnk6pZQGHG9JKcqgS+b2ZYzr8ELwXT8wvyCbHnDtlBX3bIrty6izKY7tZXDpwe1DQR8+IqsVzJsXOhiPsW93SPXna7ze447aBDaWLDVgXppxXF5xhE06C0sdavF6yzyw1FvZtmS8LDzvPtNn+YBzVXnyyn1asuzgsAuJvWM+utJb12tv5n7s+K6CZ+hulyWtjIyMjIyMjIz8gycjIyMjIyPj/eO72slKeNTCav4Sl0dNgJ2UcFsTkgVVKlVc4ZopDf2Cok7IOwbkVQQOdXTv2LdjyF1KKQ0D311LtcV7Zui7lf9R4OyYodrGc1DRMw6OceT9c9DDUsV20TSrfTC3p1lT2tLAPfRqDaVYQac/fiKsro5jPn8hGA16NUGFrhxzjwyS6FVrkEnHMq5/o0yEG6XdbQP8hktc96U1sApXyOhK//jcwzHcPAkavGE8d+xH1wUFOyPRGZS1Qh1PPZTydHtJq8fl1CMrc9rTiAPpMnKPfCZskF6tfo1rYNDXyH2w0FU1cIxk+aXuPijnHnnLYMPLc9w3KaVU4uYoRh07uL+8TswLl0t81kCgW40EUkDf9wOuGGRLavRS+TuuoR/l0jr1BpUy5zGn2v+36QV0+QAhkX5OVenAIlwVF5iOKB11hm7qxupdV1Bs5YSi1QHE328kFcIJdaORTnjFgVbg4OmdtO2KSkpCnC+uoQrtOP+xDPJ/i4fHkOefzkiJKeStkePSNWcdVIeEORJMW3GNO7r89ndxzs/MubqHF+aokSDAaWbpQLt1rtVIl0f+38gYXHGKnuiIrGvGpsGhzE1Nq0wa8/Innj8P97G9Y7lAt2ff9m+WPHwDmeHJyMjIyMjIePfIP3gyMjIyMjIy3j3+wA4EDQjlJX0lbVi0OCeQIgpkglXnF+F3I7LXjEOkgbqsXNXPPpTw6Y0hbNP28M64NlrNQgRoveCoadqgyBao75XurYlAPp0G40SvFj1BT6/xXSOS1tjrIvkxv0OvyAsr/P1SSU1CbdofdQxJxx6UlRKc88w5MggQF11b4QTBwfOKwiHt+qeHoGx3x22Q5JWx193FGDuyin+1cwcnIMM5DRTMLHVct/1dOLw+3gXVej4hiUDx9vRJndm+DFtH0i2wVFLiHBcOpOkaMtaA++GM82V5QQJAAt5/oIPsY5yHelaSjfMwrnEepnMcb42ad4bqHs5bSetICGft2CToTPOi8lPPZ5nPtu/i/tU1dKHfp0MmbQzXZJ467rkfm9sH1aWUUs1co5TeI7FfcOBxe6XZ66+rife3yEfjZFBhfE6zY4mBx4nkrQNSaeytd21hHK7M/7q0pklHGRLdQ+zHkXtcl9+SlNmQxpBNRwJCNyG6OmvX2y8f6DiPuxZHkc9EJSqu/f0jzzicizXS/Mhzs+Y67TqXgiDnMSa8iUokLZ/pziEppVQpnyJRdfStXa8G7ca+7nE08xWpYVz7jFeWut+ECrLkA6dgiVTbEjr5e8gMT0ZGRkZGRsa7R/7Bk5GRkZGRkfHu8X2XViGHHDTXABX2gkw09EE7tXCu5v+dKfOYCORb6aspr0FTHaDBevo+OgK59tDhqcKZctn29eg2qHD1bEhNKHgp3h6ZpcedUhJCl9rY2dcL8saZEK9FCQGKH41lKv5Aafw7Mbp6nuPf7+P8LSt07/htB4eOmhHafLAbC+p7Mkiu+rbzrUESGRgLV3td5i3VWuwJu0L6qHeOh/i+K900Sm47JNEjMlZL38vC5xieOeO2aJFQznPILCvvuRW2/1KJ83K9hnRFDlmacTLauTMQYDjjwDFsbkH/Lfnb6opDEenh5bMBoXTsIB+8rUWrcFce6c15pWOtXpRWYq6pB91Y3GtD/K0yxl45m/kLZSTN3O/KIW17+160lFKqkDtK5rYSV9hlckzFNW8LnEzcqEoRumyv3LNXrn/LMdtPZQ7ssgkv5fU3ypB3assb3W8/YF6VwL/dvTUTWrpsZBc+B8lmRkpfcBoNzEfrDwgeHOh8mzneClfqjuv98IhkRJefHZSvg+M6xmNZKjHhbsW9pMxnH1tlzxUzynTdukonpOuanww7XKwfcVRtcgsXu7d4btrfiKy8Q6K7I8j14SHkqo7QwqZTtvzj52ZmeDIyMjIyMjLePfIPnoyMjIyMjIx3j+9yQDWUV8O2YUKbLg/o5F+fg9Ze6Vt6uGPVOjSrzh9NAdSepHL+dhjYgpQyE4o4jtvfc0th6BU0MF0sDeFNCUqxMhixDZrO7C1p9gTNPOlmgK42eNEAtK7/Ad1LKaVEiNmMPeP6GnJHAfW7QCF3TdCIl02oFcfcxPEo0TnIJgLdpFHb+5+/blPLlAaC7sbXraR12Mf3+X8+P9EPZBjiIp1LzxDOrBWJ0mC0s8FwygNQzTUBYuto4NjtJcqVXrlpikCzruEe2dyz8f4W+W8p41y1hL/tuKzVFJ1qurSOlX09yl5Q4HT0tIQcFuVW5htxBybutfsd0g0uu9fnkKsKxtoep0pruFvD9cAVsnpfE5aq0lHMMQYb7tlbwiBFHbH2Gdpbp4Q7Mu6ozEqFljUD5/xMu9e4BDMySGunkff7Rnp669OibxH5snSfDEnE4XndPBcS24QTavnhPtUpm7jmfm/B86v6AZKWrrEGefbxMWSZHcGee/ofX7GrtqwFKT4TWsg4VXZvOqX22B8zIeeN3MR7nKLYt5RSWnA7HwlaHUhwNHS19pQqSSI9d+yr23vmiIf7eOb8/NOn2Aee0Z3Sa/3HcnNmeDIyMjIyMjLePfIPnoyMjIyMjIx3j+9y7XNhZweBRVDLmLfSDF820x/0GwFor6+E/xEmZHhaTRBcuyC3wM1V0Kkj71eGWpdt99JseOIS++fK8BZJJxW4InRpXZGoCM+a1qC+7S85s1J9gFq1DsYV+Xao3BLKWCu08S9XQ7B2vJ8ONKSCK8cvg1wgaVXIZ6fXOC92qXV7wgxxG2zcAwVdT+dtgF/F9Z357X4d4/v6UxzzHjm1hkIfoWZH+rnq8jH2Dwnh6bffvm7b7zVX0rrS2vG9t8Ku414bDOIirIzAt8ORXrCW8bvqQCJE1HCvLu6V+0N8zjOXo+D6rZo77c7DGVevW/p5IYgsIafYFdRwD3bQ+r0deUjV9439d8iNOpmKb3ehVUjPzS5eP+x/zL25rgaYhsRxRRqdcNoNOORqnKnLgBORQNUS6cZgR0PvVtxL15f4HOf7jQzCeH+LWbmDucDv8J/bM3P45NIFtBblLd2hhhmWSEhFHeO/qpHJDPRrbi83P36kp49jvHuI+Y4hnnpk8RMhmmfmuxNBhXqPK47dvjRlW93JGyWQ7WJDfWyvq312HefLsemzpUDGKg2gZIzvOkIumWu63wlSfHgIF9jd0ZDSb/d9/h4yw5ORkZGRkZHx7pF/8GRkZGRkZGS8exSr6VEZGRkZGRkZGe8QmeHJyMjIyMjIePfIP3gyMjIyMjIy3j3yD56MjIyMjIyMd4/8gycjIyMjIyPj3SP/4MnIyMjIyMh498g/eDIyMjIyMjLePf4nuz0qP2AwnLMAAAAASUVORK5CYII=\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "# Visualize the learned weights for each class.\n",
    "# Depending on your choice of learning rate and regularization strength, these may\n",
    "# or may not be nice to look at.\n",
    "w = best_svm.W[:-1,:] # strip out the bias\n",
    "w = w.reshape(32, 32, 3, 10)\n",
    "w_min, w_max = np.min(w), np.max(w)\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "for i in range(10):\n",
    "    plt.subplot(2, 5, i + 1)\n",
    "      \n",
    "    # Rescale the weights to be between 0 and 255\n",
    "    wimg = 255.0 * (w[:, :, :, i].squeeze() - w_min) / (w_max - w_min)\n",
    "    plt.imshow(wimg.astype('uint8'))\n",
    "    plt.axis('off')\n",
    "    plt.title(classes[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline question 2**\n",
    "\n",
    "Describe what your visualized SVM weights look like, and offer a brief explanation for why they look they way that they do.\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$ *fill this in*  \n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3-final"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}